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Responsible AI Use2,407Research Integrity1,983Empirical Study1,712AI Governance1,670Design Science1,576Human-AI Collaboration1,485Literature Review1,404Experimental1,307Conceptual1,281Data Analysis1,170Evaluation & Benchmarks1,104AI Literacy Training1,092Benchmarking1,056AI-Assisted Discovery1,043Hallucination Control1,013Academic Writing934Doctoral Training902Knowledge Synthesis889Case Study791RAG for Research786Mixed Methods772Research Productivity727Literature Discovery724Scholarly Infrastructure723Qualitative710AI Manuscript Writing661Institutional Policy595Position Paper562Epistemic Risk539Bias & Epistemic Risk525Survey515Productivity Effects464Peer Review334Systematic Review Automation305AI Peer Review264Content Analysis262Citation Integrity243Multi-Domain121Meta-Analysis118Scholarly Publishing112Qualitative Coding with AI110Meta-Analysis Automation109Reproducibility with AI109Authorship & Attribution107Policy Analysis77Simulation35Action Research20
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Responsible AI Use(137)
- The impact of generative AI on the scholarly communications of early career researchers: An international, multi‐disciplinary study
- Benefits and Risks of Using AI Agents in Research
- Ethical Use of Artificial Intelligence in Academic Journal Writing: A Systematic Review Analysis
- The ethics of disclosing the use of artificial intelligence tools in writing scholarly manuscripts
- Speeding up to keep up: exploring the use of AI in the research process
- The ethics of using artificial intelligence in scientific research: new guidance needed for a new tool
- Disclosing artificial intelligence use in scientific research and publication: When should disclosure be mandatory, optional, or unnecessary?
- New Frontiers in Information Systems Theorizing: Human-gAI Collaboration
- Generative artificial intelligence for academic research: evidence from guidance issued for researchers by higher education institutions in the United States
- Responsible Artificial Intelligence and Journal Publishing
- AI, agentic models and lab automation for scientific discovery — the beginning of scAInce
- Responsible use of large language models in manuscript authorship, peer review, and editorial processes: a Delphi consensus among editors-in-chief of anaesthesia and pain medicine journals (RULE-AP)
- Core principles of responsible generative AI usage in research
- ChatGPT als doppelte Herausforderung für die Wissenschaft
- Autonomous artificial intelligence, scientific research, and human values
- Where Will AI Take Scholarly Communication? Voices From the Research Frontline
- Next-generation IS research methods – towards a better understanding of complex and dynamic phenomena … and generative AI as the elephant in the room
- A dancing bear, a colleague, or a sharpened toolbox? The cautious adoption of generative AI technologies in digital humanities research
- The AI Guilt Complex: Moral Emotions and Ethical Dilemmas in Academic Technology Adoption
- New collaborative statement by bioethics journal editors on generative AI use
- The Presence and Nature of AI-Use Disclosure Statements in Medical Education Journals: A Bibliometric Study
- Large language models and responsible research evaluation: an extension of the Leiden Manifesto
- From disclosure to evidence: Toward auditable AI use and contribution provenance
- Can GenAI complement supervisor support in shaping postgraduates’ research experiences? A mixed-methods approach
- Scholarly Integrity and Generative AI : Five Boundary Violations for IS Scholarship
- Emerging conventions in GenAI disclosure: how applied linguistics scholars disclose AI use
- Authorship Statement for Generative Artificial Intelligence: Assuring Trust and Accountability
- Assessing the influence of generative artificial intelligence (GenAI) on awareness and behavior in medical research integrity: An online survey study
- The rise of the research automaton: science as process or product in the era of generative AI?
- The uses of generative artificial intelligence in social research north and south: Comparing empirical evidence from surveys in Denmark and Mexico
- Interpretable analysis of smartphone addiction status and its associated factors among college students
- Towards Ethical AI Adoption in Academic Research: Insights from a Systematic Literature Review
- Making Artificial Intelligence (AI)–Mediated Translation Visible: A Minimum Disclosure Standard for Qualitative Health Research
- UK healthcare educators’ experiences and perceptions of essay assessments in the generative AI era
- After the Wow: Building Reliability in GenAI ‐Era Scholarly Publishing
- Generative Artificial Intelligence in Scientific Publishing: Ethical Governance, Challenges, and Responsibilities
- Evaluation of output of AI models ScholarAI and SciSpace: Implications for use of generative artificial intelligence models as research assistants
- Conclusion
- AI Disclosure without Accountability: Paper Compliance and the Governance Limits of Transparency in Scientific Research
- (Human) Attention Is (Still) All You Need: Human oversight makes AI-assisted social science reliable
- Musicology and artificial intelligence
- Use of AI Tools in Academic Research: Awareness, and Ethical Concerns among Social Science Researchers
- Modelling the impact of generative artificial intelligence on information behaviour research
- Factors Influencing AI Tool Adoption in Research Among Junior and Senior Students of QCU College of Computer Studies
- Ethical and Unethical Use of Generative Artificial Intelligence in Higher Education: Opportunities and Challenges for Online Graduate Education
- Beyond AI disclosure: Claim accountability and responsible research in scholarly publishing
- TRANSFORMATION OF ACADEMIC INTEGRITY PRINCIPLES IN THE ERA OF GENERATIVE ARTIFICIAL INTELLIGENCE
- Ethical Dimensions of Artificial Intelligence in Scientific Research: a Case Study of «7m01504 – Chemistry» Master's Program
- Ethical Challenges in the Use of Artificial Intelligence in Academic Research in Bamyan University
- SciIntBench: Measuring LLM Compliance with Research Integrity Norms Under Adversarial Framing
- University student perspectives on generative AI: reconfiguring competence, fairness, and authorship in academic work
- The AIR framework for research transparency: a critical analysis of stage-specific AI disclosure in the context of accessibility and research integrity
- Do Early Career Researchers Consider AI as an Opportunity or a Threat? A Pathfinding Study
- Editorial: Generative AI, human authorship and the transformation of scholarly communication
- SciIntegrity-Bench: A Benchmark for Evaluating Academic Integrity in AI Scientist Systems
- Guest editorial: AI-assisted academic writing, translation, and literacy for the promotion of human agency in higher education
- Agentic AI Scientists Are Not Built For Autonomous Scientific Discovery
- The AI turn in science: a reflexive thematic analysis of scientists’ commentaries and educational implications
- Upholding Scientific Rigor in the Age of Generative AI : What FASEB 's New Policy Means for The FASEB Journal and FASEB BioAdvances
- End-to-end autonomous scientific discovery on a real optical platform
- Ethical challenges of artificial intelligence in education: A systematic literature review on bias, privacy, and academic integrity
- The Reliance Negotiation Framework: A Dynamic Process Model of Student LLM Engagement in Academic Writing
- The Relic Condition: When Published Scholarship Becomes Material for Its Own Replacement
- Beyond replacement anxiety: a psychological framework for understanding AI in natural science research
- Taking a Pulse on How Generative AI is Reshaping the Software Engineering Research Landscape
- Inspectable AI for Science: A Research Object Approach to Generative AI Governance
- Epistemic Transformations: Large Language Models and the Reconfiguration of Scholarly Knowledge Production
- Classification of artificial intelligence tools for educational research by the criterion of research autonomy
- Responsible Utilisation of AI in Academic Research Strategies for Preserving Scientific Integrity and Quality
- The Agentic Researcher: A Practical Guide to AI-Assisted Research in Mathematics and Machine Learning
- Ethical Judgments and Weakness of Will in the Misuse of Generative AI: The Case of Academic Essay Production among Higher Education Students
- A dancing bear, a colleague, or a sharpened toolbox? The cautious adoption of generative artificial intelligence technologies in digital humanities research
- Generative Artificial Intelligence and Research Integrity: A Responsibility-Centred Framework
- Generative AI as a ‘Precipitant’ of Challenges in Doctoral Supervision: A Dialogue Among Supervisors
- AI for Science Needs Scientific Alignment
- How to Report the Use of Artificial Intelligence in Scientific Articles: A Scoping Review and Taxonomy of Editorial Policies
- A Multidimensional Psychometric Scale for Measuring AI Dependency in Academic Research
- The Ethical Aspects of AI in Scientific Publishing.
- A Panel Report on the Implications of Artificial Intelligence for Academic Knowledge Work
- Generative Artificial Intelligence and Responsible Authorship: Scientific, Ethical, and Legal Considerations
- AI-based research mentors: Plausible scenarios and ethical issues
- Sense and sensibility of article submission platforms are needed regarding verification of AI use: a stakeholders’ perspective
- Generative AI in Academic Research
- Artificial intelligence in higher education: the state of the field
- The effects of over-reliance on AI dialogue systems on students' cognitive abilities: a systematic review
- ChatGPT in higher education: Considerations for academic integrity and student learning
- What ChatGPT means for universities: Perceptions of scholars and students
- Generative AI tools and assessment: Guidelines of the world's top-ranking universities
- Artificial intelligence in higher education, opportunities, and challenges: a review
- Tres escenarios para la IA en educación: del apoyo responsable a la cocreación
- Beyond the Prompt: Student Strategies, Ethical Reflections, and Learning with ChatGPT in Computer Science
- Towards an AI Buddy for every University Student? Exploring Students' Experiences, Attitudes and Motivations towards AI and AI-based Study Companions
- Auditing Student-AI Collaboration: A Case Study of Online Graduate CS Students
- Academic Cheating with Generative AI in Higher Education: An Extended Model of the Theory of Planned Behavior with Motivational Antecedents
- The role of generative AI chatbots in higher education: A student-centric conceptual analysis of benefits, ethics, and privacy concerns
- Identifying discourses of generative AI in higher education
- What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature
- Fairness, Accountability, Transparency, and Ethics (FATE) in Artificial Intelligence (AI) and higher education: A systematic review
- The Perception by University Students of the Use of ChatGPT in Education
- Student Perceptions of ChatGPT Use in a College Essay Assignment: Implications for Learning, Grading, and Trust in Artificial Intelligence
- Unveiling Students’ Experiences and Perceptions of Artificial Intelligence Usage in Higher Education
- Characteristics, motivations and attitudes of students using ChatGPT and other language model-based chatbots in higher education
- Redefining student assessment in AI-infused learning environments: a systematic review of challenges and strategies for academic integrity
- Engineering Students' Perceptions and Use of Generative Artificial Intelligence
- Navigating opportunities and challenges of generative AI in higher education: towards responsible, equitable, and human-centered integration
- In ChatGPT they trust: a study of students’ perceptions and misuse of ChatGPT in higher education
- Task automation and instructional planning support with large language models: a systematic review
- Cheating in the second year of generative AI chatbots: a follow-up study on high school student cheating behaviors
- Validating the AIM–N: An AI-motivation and needs scale with multi-group invariance and MIMIC-DIF evidence in higher education
- The Double-Edged Tool: Student Perspectives on the Ethical Use, Skill Impact, and Pedagogical Adaptation of Generative AI in Higher Education
- RelianceScope: An Analytical Framework for Examining Students' Reliance on Generative AI Chatbots in Problem Solving
- Revolutionizing education with AI: Exploring the transformative potential of ChatGPT
- Unlocking the Power of ChatGPT: A Framework for Applying Generative AI in Education
- The promise and challenges of generative AI in education
- Automatic Short Answer Grading for Finnish with ChatGPT
- Evaluating AI-powered learning assistants in engineering higher education with implications for student engagement, ethics, and policy
- Conversational AI agents in education: an umbrella review of current utilization, challenges, and future directions for ethical and responsible use
- Evaluating ChatGPT’s Cognitive Performance in Chemical Engineering Education
- Students’ behavioral intentions toward generative AI in education: Task-technology fit and moral obligations
- ChatGPT in the Classroom: Student Perceptions and Learning Experiences in Higher Education
- GenAI-supported portfolio assessment for complex thinking: a GPT-based innovation in business education
- Generative Ai and Student Engagement, Motivation, and Learning: Exploring The Use Of Generative Ai in Higher Education Online Courses
- Generative AI in Entrepreneurship Education: Enhancing Faculty's Instructional Design and Pedagogical Capacities
- Ethics of AI in Education: Towards a Community-Wide Framework
- Shaping the Future of Education: Exploring the Potential and Consequences of AI and ChatGPT in Educational Settings
- State of the art and practice in AI in education
- Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT
- ChatGPT in education: Strategies for responsible implementation
- Generative Artificial Intelligence in Education: From Deceptive to Disruptive.
- Promoting student engagement with GPTutor: An intelligent tutoring system powered by generative AI
- AI, Explainable AI and Evaluative AI: Informed Data-Driven Decision-Making in Education
- Integrating Explainable AI in Education: Challenges and Advancements – A Systematic Review
- Policy, Risk and Innovation: A Mixed-Methods Framework for Using AI to Foster Inclusion in Marginalized Communities in Bangladesh
- Darwin Education: Architecture-First Adaptive Learning With Psychometric and Safety Governance
- Man in the Webs of Meaning: Negative Aspects of Artificial Intelligence in Education
- Comparing traditional AI, agentic ai and agentic rag for dialogic online education
- Implementing AI Course Assistants: A Rapid Design Case from Concept to Full Rollout at Los Angeles Pacific University
Human-AI Collaboration(13)
- Exploring the role of large language models in the scientific method: from hypothesis to discovery
- Agon: An Autonomous Large-Scale Omnidisciplinary Research System Built on Prompt Economy
- Statistical Proof as a Window into Human-AI Collaboration: Practical Insights and a Community Agenda
- ContinuumCellAgent: A Framework-Guided Agent for Long-Horizon Scientific Research
- AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery
- The Agentification of Scientific Research: A Physicist's Perspective
- What do we mean by “AI Integration”? Toward a typology of integrating artificial intelligence in higher education
- Artificial Intelligence in Higher Education
- Open-Source Large Language Models in Education: A Narrative Review of Evidence, Pedagogical Roles, and Learning Outcomes
- The Future of Intelligent Tutoring Systems for Writing
- Artificial intelligence
- Through the looking glass: a synthesis of systematic reviews and meta-analyses on pedagogy paradigms facilitated by large language models
- Interpreting Interaction Patterns and Cognitive Strategies in LLM-Supported Exploratory Learning: A Mixed-Methods Analysis Using the DOK Framework
Evaluation & Benchmarks(17)
- Can ChatGPT be used to predict citation counts, readership, and social media interaction? An exploration among 2222 scientific abstracts
- Can small and reasoning large language models score journal articles for research quality and do averaging and few-shot help?
- Assessing the Performance of 8 AI Chatbots in Bibliographic Reference Retrieval: Grok and DeepSeek Outperform ChatGPT, but None are Entirely Accurate
- Act As a Real Researcher: A Suite of Benchmarks Evaluating Frontier LLMs and Agentic Harnesses in Research Lifecycle
- A case study of evaluating AI agents on a neuroscience data-to-discovery pipeline
- Automated Benchmark Auditing for AI Agents and Large Language Models
- Evaluating Deep Research Agents on Expert Consulting Work: A Benchmark with Verifiers, Rubrics, and Cognitive Traps
- FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics
- Useful for Exploration, Risky for Precision: Evaluating AI Tools in Academic Research
- PaperAsk: A Benchmark for Reliability Evaluation of LLMs in Paper Search and Reading
- MedResearchBench: A Multi-Domain Benchmark for Evaluating AI Research Agents on Clinical Medical Research
- MiroEval: Benchmarking Multimodal Deep Research Agents in Process and Outcome
- Artificial Intelligence in Assessment: A Bibliometric Review of Research Development, Thematic Patterns and Research Clusters
- SafeTutors: Benchmarking Pedagogical Safety in AI Tutoring Systems
- Artificial intelligence in science education: A systematic review of applications, impacts, and challenges
- Artificial Intelligence in English-Speaking Education: A WoS-Based Bibliometric Analysis of Technology, Pedagogy, and Ethics (2021-2025)
- AutoSCORE: Enhancing Automated Scoring with Multi-Agent Large Language Models via Structured Component Recognition
AI Literacy Training(74)
- Integrating generative artificial intelligence in African higher education: university students’ awareness, attitudes, and use of ChatGPT in Zambia
- Supervision Skills of Supervisors in AI-enhanced Environments: Perspectives on Postgraduate Supervision
- Shaping responsible GenAI use in research through AI literacy-oriented guidelines: insights from postgraduate students
- Teaching Research Methods in the Age of Artificial Intelligence
- A design science blueprint for an orchestrated AI assistant in doctoral supervision
- A Discipline-Agnostic AI Literacy Course for Academic Research: Architecture, Pedagogy, and Implementation
- Defining and assessing AI literacy for researchers across the research lifecycle
- Ai literacy and academic integrity in a globalised educational system: A systematic review.
- The Role of Artificial Intelligence in Modern Academic Research: A Systematic Review of Contemporary Literature (2015–2025)
- AI Dependency vs. Doctoral Identity: How Generative AI is Challenging the Development of Independent Scholarly Thinking in Doctoral Students
- Integrating Artificial Intelligence in Postgraduate Supervision: Emergent Opportunities, Challenges, and Strategic Responses for Institutions
- How to Use Generative Artificial Intelligence in the Research Process: A Modular Course Approach for Early Career Researchers
- Regards croisés sur les IA Génératives dans l'Enseignement Supérieur en Gestion. Volet 2 - Recherche qualitative d’usages précurseurs et préconisations
- ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters’ utilization and perceptions
- Drivers and Consequences of ChatGPT Use in Higher Education: Key Stakeholder Perspectives
- Understanding the Effects of GenAI as No-Code Alternative for Teaching Machine Learning Workflows
- Encouraging responsible GenAI use in software engineering education: A design-oriented model
- Artificial Intelligence-Driven Innovation In Higher Education System In India
- Studying the GenAI’s Impact on Learning and Critical Thinking: A Multi-Site Field Experiment
- Embracing the future of Artificial Intelligence in the classroom: the relevance of AI literacy, prompt engineering, and critical thinking in modern education
- The AI generation gap: Are Gen Z students more interested in adopting generative AI such as ChatGPT in teaching and learning than their Gen X and millennial generation teachers?
- Future research recommendations for transforming higher education with generative AI
- AI literacy and its implications for prompt engineering strategies
- Reimagining pedagogy for the GenAI era: Frameworks, challenges and institutional strategies
- Exploring Multimodal Generative AI for Education through Co-design Workshops with Students
- Strategies for developing AI competencies in higher education
- From Pilots to Practices: A Scoping Review of GenAI-Enabled Personalization in Computer Science Education
- Inquiry-based learning patterns in large language model-driven learning environments: An exploratory study from Bloom’s perspective
- Artificial Intelligence in Medical Education and Assessment: The next step in the IT Revolution
- Augmenting dissertation mentorship through multi-modal generative AI: adapting language and visuals to diverse learning styles
- Complementary AI in higher education: behavioral, cognitive, and ethical implications of ChatGPT and DeepSeek
- Bridging the Skills Gap: A Course Model for Modern Generative AI Education
- PROMPT ENGINEERING FOR AI-INTEGRATED ENGLISH LANGUAGE LEARNING AND TEACHING IN UNIVERSITIES
- A case study of solving a complex genetics problem to develop generative AI literacy in health science
- Relying on LLMs: Student Practices and Instructor Norms are Changing in Computer Science Education
- TOOLS TO SUPPORT PROGRAMMING EDUCATION WITH THE HELP OF MULTI-ROLE AI AGENTS
- Perceptions Of Generative AI in the Global South: A Scoping Review
- “We Need to Analyze Students GenAI Use”: Towards an AI Adoption Framework for Higher Education
- Learning to Learn with Gen AI: A Qualitative longitudinalstudy
- A survey on students’ perceptions of GenAI in higher education
- Conceptualizing AI literacy: An exploratory review
- Exploring Students’ Perceptions of ChatGPT: Thematic Analysis and Follow-Up Survey
- Leveraging ChatGPT for Enhancing Critical Thinking Skills
- A Framework for Approaching AI Education in Educator Preparation Programs
- Co-designing AI Education Curriculum with Cross-Disciplinary High School Teachers
- When Generative AI Meets Socratic Method: Investigating Programming Learning Dynamics Through Behaviours, Interaction Qualities and Perceptions
- The R5E pattern: can artificial intelligence enhance programming skills development?
- Adoption of Generative AI in Higher Education: Perceptions of Journalism Students
- Beyond Automation: Cultivating Self-Regulated Learning through AI and Reflective Practice
- Language teachers’ AI literacy: A psychometric study based on the ED-AI framework
- Integrating Generative AI in Primary English Material Design: Insights from Indonesian Teachers’ Perceptions
- Learner Engagement & Motivation in EFL Higher Education : The Pedagogical Role of Generative AI Tools in Educational Ecosystems
- The impact of teachers’ innovative teaching behaviors on vocational college students’ learning engagement in the Chinese context: the mediating roles of AI trust and learning satisfaction
- Generating a Student-Informed Teaching and Learning Conceptual Framework for GenAI in Business Schools: A Case Study
- A Semi-Systematic Review of Structural Relations in Teachers’ Use of Generative AI for Assessment Purposes
- Intelligent Tutoring for Law Courses: Design and Evaluation of an LLM-based System
- ADOPTION AND USE OF CHATGPT AMONG STUDENTS IN NORWEGIAN HIGHER EDUCATION: A UTAUT2-BASED STUDY
- Portuguese secondary school students’ perceptions regarding the use of ChatGPT
- A Multi-Agent Generative AI System for incorporatingBloom’s Taxonomy, Constructivism, and MetacognitionTheories in Student’s Learning Performance
- Usability and Preferences for a Personalized Adaptive Learning System for AI Upskilling
- What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education
- A SWOT analysis of ChatGPT: Implications for educational practice and research
- The application of AI technologies in STEM education: a systematic review from 2011 to 2021
- What drives students toward ChatGPT? An investigation of the factors influencing adoption and usage of ChatGPT
- “From Unseen Needs to Classroom Solutions”: Exploring AI Literacy Challenges & Opportunities with Project-Based Learning Toolkit in K-12 Education
- Unpacking EFL teachers’ perceived opportunities and challenges of multimodal AI-driven language testing
- A Theory of Adaptive Scaffolding for LLM-Based Pedagogical Agents
- KTCF: Actionable Recourse in Knowledge Tracing via Counterfactual Explanations for Education
- Use of ChatGPT as a supplemental learning tool in mathematics
- Personalized Learning with AI: Adapting Education to Learners’ Needs
- Exploring Teachers’ Beliefs About ChatGPT in Arts Education
- Scaling Equitable Reflection Assessment in Education via Large Language Models and Role-Based Feedback Agents
- Onco-Shikshak: An AI-Native Adaptive Learning Ecosystem for Medical Oncology Education
- Report from Workshop on Dialogue alongside Artificial Intelligence
AI-Assisted Discovery(63)
- AI Research Agents Narrow Scientific Exploration
- Autonomous chemical research with large language models
- Language agents achieve superhuman synthesis of scientific knowledge
- Accelerating scientific discovery with Co-Scientist
- SciSciGPT: advancing human–AI collaboration in the science of science
- Mapping the Challenges of HCI: An Application and Evaluation of ChatGPT for Mining Insights at Scale
- Artificial Intelligence agents for biological research: a survey
- Intelligent Semantic Search for Academic Journals Using AI and NLP Techniques
- Evaluating and Enhancing Large Language Models for Novelty Assessment in Scholarly Publications
- The Role of Generative Artificial Intelligence in Developing Cognitive and Research Talent Among Postgraduate Students
- ScholarQuest: A Taxonomy-Guided Benchmark for Agentic Academic Paper Search in Open Literature Environments
- Can large language models generate novel scientific ideas? A comprehensive study on data-driven astronomy
- From Specification to Execution: AI Assisted Scientific Workflow Management
- From Text to Discovery: How Large Language Models Are Accelerating and Complicating Research Across Scientific and Humanistic Disciplines
- Extending AI for Research to the Humanities: A Multi-Agent Framework for Evidence-Grounded Scholarship
- ProjectionBench: Evaluating Scientific Hypothesis Generation in LLMs Under Progressive Information Disclosure
- Rethinking Literature Search Evaluation: Deep Research Helps, and Human Citation Lists Are Not a Ground Truth
- From Rules to Reasoning: A Survey of Large Language Model-Based Approaches to Scientific Hypothesis and Idea Generation
- EvoSci: A Bio-Inspired Multi-Agent Framework for the Evolution of Scientific Discovery
- AutoResearchClaw: Self-Reinforcing Autonomous Research with Human-AI Collaboration
- Harnessing AtomisticSkills for Agentic Atomistic Research
- Towards Self-Evolving Agentic Literature Retrieval
- More Than Can Be Said: A Benchmark and Framework for Pre-Question Scientific Ideation
- PARNESS: A Paper Harness for End-to-End Automated Scientific Research with Dynamic Workflows, Full-Text Indexing, and Cross-Run Knowledge Accumulation
- NORA: A Harness-Engineered Autonomous Research Agent for End-to-End Spatial Data Science
- AutoResearchBench: Benchmarking AI Agents on Complex Scientific Literature Discovery
- QED: An Open-Source Multi-Agent System for Generating Mathematical Proofs on Open Problems
- Dr.Sai: An agentic AI for real-world physics analysis at BESIII
- PaperMind: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs
- SCI-IDEA: Context-Aware Scientific Ideation Using Token and Sentence Embeddings
- HiRAS: A Hierarchical Multi-Agent Framework for Paper-to-Code Generation and Execution
- Knows: Agent-Native Structured Research Representations
- Towards grounded autonomous research: an end-to-end LLM mini research loop on published computational physics
- EpiBench: Benchmarking Multi-turn Research Workflows for Multimodal Agents
- Paper Espresso: From Paper Overload to Research Insight
- Generative AI in teacher education: a systematic review
- MemoNoveltyAgent: A Historical Research Memory-Aware Agent Workflow for Paper Novelty Assessment
- Scopus AI Among Novice Lecturers: Perceptions, Influencing Factors, Institutional Support
- Expert evaluation of LLM world models: A high-T c superconductivity case study
- Collaborative and Autonomous AI for Science and Innovation: Practices, Challenges, and Future Directions
- DeepXiv-SDK: An Agentic Data Interface for Scientific Literature
- From Static Repositories to Agentic Knowledge Webs: ResearchTwin and the S-Index for Federated Human-AI Research Discovery
- Towards Autonomous Mathematics Research
- SciNet: Evaluating AI Agents in Relation-Aware Scientific Literature Retrieval
- A Multidisciplinary Bibliometric Analysis of Differences and Commonalities Between GenAI in Science
- ADRA-Bank: A Modular Benchmark for Academic Deep Research Agents
- A Survey of AI Scientists
- DeepResearch_Eco: A Recursive AgenticWorkflow for Complex Scientific Question Answering in Ecology
- Chain of Retrieval: Multi-Aspect Iterative Search Expansion and Post-Order Search Aggregation for Full Paper Retrieval
- Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery
- AI chatbots in programming education: Students’ use in a scientific computing course and consequences for learning
- Students’ Perceptions and Preferences of Generative Artificial Intelligence Feedback for Programming
- How Teachers Can Use Large Language Models and Bloom’s Taxonomy to Create Educational Quizzes
- Scaffolding Metacognition in Programming Education: Understanding Student-AI Interactions and Design Implications
- Generative AI in Education: A Review of Applications, Impacts, and Future Research Directions
- A Chain-of-Thought Prompting Approach with LLMs for Evaluating Students’ Formative Assessment Responses in Science
- Graph RAG for Automated Short Answer Grading with Feedback: Bridging Pedagogical Needs and Technical Capabilities
- From Solver to Tutor: Evaluating the Pedagogical Intelligence of LLMs with KMP-Bench
- Automated feedback generation in an intelligent tutoring system for counselor education
- Using Large Language Models to Detect Socially Shared Regulation of Collaborative Learning
- How Does LLM-powered Coding Assistance Shape Incidental Learning? Exploring Cognitive Forcing Strategies in Programming Education
- Personalization Imperative: Unpacking Student-AI Relationships Through a Mixed-Methods Lens in Indonesian Higher Education
- AI-Supported Learning in Online Discussion Forums: A Scoping Review
Hallucination Control(56)
- Hallucinated citations produced by generative artificial intelligence may constitute research misconduct when citations function as data in scholarly papers
- Leveraging Artificial Intelligence in Scholarly Publishing
- HalluCiteChecker: A Lightweight Toolkit for Hallucinated Citation Detection and Verification in the Era of AI Scientists
- Do Deployment Constraints Make LLMs Hallucinate Citations? An Empirical Study across Four Models and Five Prompting Regimes
- Hallucinations in Scholarly LLMs
- Comparing scientific abstracts generated by ChatGPT to real abstracts with detectors and blinded human reviewers
- Fabrication and errors in the bibliographic citations generated by ChatGPT
- Generative AI and Academic Integrity in Higher Education: A Systematic Review and Research Agenda
- Playing Games with Ais: The Limits of GPT-3 and Similar Large Language Models
- Artificial intelligence and academic publishing
- ‘As of my last knowledge update’: How is content generated by ChatGPT infiltrating scientific papers published in premier journals?
- Does ChatGPT Ignore Article Retractions and Other Reliability Concerns?
- Obvious artificial intelligence‐generated anomalies in published journal articles: A call for enhanced editorial diligence
- From Illusion to Insight: A Taxonomic Survey of Hallucination Mitigation Techniques in LLMs
- Are AI Detectors Good Enough? A Survey on Quality of Datasets With Machine-Generated Texts
- Survey of AI Hallucinations and Mitigation
- PseudoBench: Measuring How Agentic Auto-Research Fuels Pseudoscience
- Indexed, Ranked, Accused: Why Bibliometric Status Is Not a Certificate of Integrity in the Age of AI-Hallucinated Citations
- TemporalXAI-Det: Temporal-Aware Explainable Detection of Multi-Model AI-Generated Academic Text via Continual Learning and Cross-Lingual Transfer
- Deterministic Integrity Gates for LLM-Assisted Clinical Manuscript Preparation: An Auditable Biomedical Informatics Architecture
- GIScholarBench: Benchmarking LLM Overconfidence in GIS Research
- Evidence Graph Consistency in Retrieval-Augmented Generation: A Model-Dependent Analysis of Hallucination Detection
- Trust, but Don't Verify: Epistemic Blind Spots in LLM Source Evaluation
- The Ghost Couple: Correlated LLM Name Priors and Their Haunting of the Web and Academic Publishing
- The Verification Gap: Artificial Intelligence Adoption, Hallucination Awareness, and Verification Practices Among Early Career Medical Researchers in Pakistan
- ScientistOne: Towards Human-Level Autonomous Research via Chain-of-Evidence
- The unacknowledged co-author: LLM-mediated reasoning in plant metabolomics and its systematic blind spots
- TopoGuard: Training-Free Hallucination Detection in Graph-Grounded Question Answering; LLM Hallucinations in Academic Research
- LLM hallucinations in the wild: Large-scale evidence from non-existent citations
- Cited but Not Verified: Parsing and Evaluating Source Attribution in LLM Deep Research Agents
- Plausible but Wrong: A case study on Agentic Failures in Astrophysical Workflows
- Fluency Without Fidelity: Errors in Citation-Attributed Claims in Large Language Model-Generated Literature Reviews in Mental Health
- Where Fake Citations Are Made: Tracing Field-Level Hallucination to Specific Neurons in LLMs
- Do Large Language Models know Which Published Articles have been Retracted?
- Detecting and Correcting Reference Hallucinations in Commercial LLMs and Deep Research Agents
- Detection, Disclosure, and Verification: A Repeated Game of Generative AI and Scientific Credibility
- How unique are hallucinated citations offered by generative Artificial Intelligence models?
- VaaS is a Multi-Layer Hallucination Reduction Pipeline for AI-Assisted Science: Production Validation and Prospective Benchmarking
- AI Hallucinations in Retrieval-Augmented and Generative Systems: A Rigorous Review of Definitions, Failure Mechanisms, Evaluation, and Mitigation Strategies
- 2112 Fact or Fiction: Exploring Hallucinated Sources and Outcomes in AI-Generated Research
- TAB-AUDIT: Detecting AI-Fabricated Scientific Tables via Multi-View Likelihood Mismatch
- Toward Reliable, Safe, and Secure LLMs for Scientific Applications
- Are Large Language Models Truly Smarter Than Humans?
- How Much Do LLMs Hallucinate in Document Q&A Scenarios? A 172-Billion-Token Study Across Temperatures, Context Lengths, and Hardware Platforms
- Structural Hallucination in Large Language Models: A Network-Based Evaluation of Knowledge Organization and Citation Integrity
- "Although Powerful, it's not Infallible": Investigating Academic Researchers' Verification Challenges with LLMs
- When References Mislead: Verification, AI Attribution, and Academic Bullying in Scholarly Evaluation
- A Geometric Analysis of Small-sized Language Model Hallucinations
- How LLMs Cite and Why It Matters: A Cross-Model Audit of Reference Fabrication in AI-Assisted Academic Writing and Methods to Detect Phantom Citations
- HalluCitation Matters: Revealing the Impact of Hallucinated References with 300 Hallucinated Papers in ACL Conferences
- A Survey on Hallucination in Large Language Models: Definitions, Detection, and Mitigation
- Hallucinations in Scholarly LLMs: A Conceptual Overview and Practical Implications
- Unmediated AI-Assisted Scholarly Citations
- Detección de Textos Generados por Inteligencia Artificial Utilizando Deep Learning
- How Sampling Affects the Detectability of Machine-written texts: A Comprehensive Study
- Machine Learning in Education
Doctoral Training(4)
- Multimodal Methods for Analyzing Learning and Training Environments: A Systematic Literature Review
- An Introduction to Large Language Models in Education
- AI in Students’ Mathematics Learning: A PRISMA-Based Systematic Review of Challenges and Solutions (2021-2025)
- Personalizing K–12 STEM Education through Technology-Enhanced Learning and Learning Analytics
RAG for Research(48)
- PaperQA: Retrieval-Augmented Generative Agent for Scientific Research
- A Systematic Literature Review of Retrieval-Augmented Generation: Techniques, Metrics, and Challenges
- BioRAG: A RAG-LLM Framework for Biological Question Reasoning
- VAIV bio-discovery service using transformer model and retrieval augmented generation
- OpenScholar: Synthesizing Scientific Literature with Retrieval-augmented LMs
- An Evidence-Grounded Research Assistant for Functional Genomics and Drug Target Assessment
- Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research
- PaperTrail: A Claim-Evidence Interface for Grounding Provenance in LLM-based Scholarly Q&A
- What Should I Cite? A RAG Benchmark for Academic Citation Prediction
- ReactionSeek: LLM-powered literature data mining and knowledge discovery in organic synthesis
- A Retrieval-Augmented Generation Framework for Academic Literature Navigation in Data Science
- OpenResearcher: Unleashing AI for Accelerated Scientific Research
- Fine-tuning and structured prompting strategies for question answering over full-text biomedical research articles
- Large Language Models for Evidence-Based Planning: Evaluating an SLR-RAG Framework for Knowledge Synthesis of Urban Vacant Land
- Novelty-Aware Agentic Retrieval: Comparing Research Contributions Through Structured Multi-Step Reasoning
- CMIP-Forge: An Agentic System that Retrieves, Computes, and Self-Reviews Climate Science
- Agentic Hybrid RAG for Evidence-Grounded Muon Collider Analysis
- Toward a Computable Scientific Corpus: Retrieval-Augmented Reasoning Systems for Scientific Discovery on Exascale Supercomputers
- TechRAG: Evidence-Gated Multimodal Agentic RAG for Technical Literature Reasoning
- UniD³: A Knowledge Graph-Enhanced RAG Framework for Drug-Disease Discovery and Reasoning
- SciAtlas: A Large-Scale Knowledge Graph for Automated Scientific Research
- ACL-Verbatim: hallucination-free question answering for research
- Vector RAG vs LLM-Compiled Wiki: A Preregistered Comparison on a Small Multi-Domain Research
- TCMIIES: A Browser-Based LLM-Powered Intelligent Information Extraction System for Academic Literature
- Topic Is Not Agenda: A Citation-Community Audit of Text Embeddings
- MARVEL: a multi-agent research validator and enabler using large language models
- From Experimental Limits to Physical Insight: A Retrieval-Augmented Multi-Agent Framework for Interpreting Searches Beyond the Standard Model
- Structure Liberates: How Constrained Sensemaking Produces More Novel Research Output
- LLM-Oriented Information Retrieval: A Denoising-First Perspective
- IntrAgent: An LLM Agent for Content-Grounded Information Retrieval through Literature Review
- DeepER-Med: Advancing Deep Evidence-Based Research in Medicine Through Agentic AI
- Pipette: Encoding scientific literature into an executable Skill Graph for multi-agent bioinformatics
- Do We Need Bigger Models for Science? Task-Aware Retrieval with Small Language Models
- AI-Supervisor: Autonomous AI Research Supervision via a Persistent Research World Model
- Reasoner-Executor-Synthesizer: Scalable Agentic Architecture with Static O(1) Context Window
- Errors in AI-Assisted Retrieval of Medical Literature: A Comparative Study
- AgenticScholar: Agentic Data Management with Pipeline Orchestration for Scholarly Corpora
- The Role of Retrieval-Augmented Generation in Improving Factual Accuracy for Medical Large Language Models
- CiteLLM: An Agentic Platform for Trustworthy Scientific Reference Discovery
- KnowRAG: A Zero-Shot Diagnostic Analysis of Knowledge Base Coverage in Scientific Retrieval-Augmented Generation
- SciRAG: Adaptive, Citation-Aware, and Outline-Guided Retrieval and Synthesis for Scientific Literature
- Queryome: Orchestrating Retrieval, Reasoning, and Synthesis across Biomedical Literature
- CIRED.digital project final report
- Deep Research: A Systematic Survey
- Como Criar seu Próprio Assistente de Pesquisa Científica com LangGraph
- Ai2 Scholar QA: Organized Literature Synthesis with Attribution
- CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs
- Undergraduate Pacific Studies Exam Generation and Answering Using Retrieval Augmented Generation and Large Language Models
Scholarly Infrastructure(7)
- PaperClaw: Harnessing Agents for Autonomous Research and Human-in-the-Loop Refinement
- The Last Human-Written Paper: Agent-Native Research Artifacts
- Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement
- Systematic review of research on artificial intelligence applications in higher education – where are the educators?
- AI-enhanced STEM education: A bibliometric study of research trends toward achieving sustainable development goals
- SciMKG: A Multimodal Knowledge Graph for Science Education with Text, Image, Video and Audio
- PRISMA 2020 explanation and elaboration: updated guidance and exemplars for reporting systematic reviews
AI Manuscript Writing(107)
- Human-AI collaboration patterns in AI-assisted academic writing
- Using AI to write scholarly publications
- Disclosing generative AI use for writing assistance should be voluntary
- Generative AI in Academic Writing: Writing Support, Human Agency, and Institutional Governance
- ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishing
- Exploring students’ perspectives on Generative AI-assisted academic writing
- Generative AI: is it a paradigm shift for higher education?
- Generative AI and higher education: a review of claims from the first months of ChatGPT
- Delving into LLM-assisted writing in biomedical publications through excess vocabulary
- Challenges for enforcing editorial policies on AI-generated papers
- Can ChatGPT be an author? Generative AI creative writing assistance and perceptions of authorship, creatorship, responsibility, and disclosure
- The role of generative AI in academic and scientific authorship: an autopoietic perspective
- Human‐ and AI‐based authorship: Principles and ethics
- Letter to editor: Academic journals should clarify the proportion of NLP-generated content in papers
- Generative AI in Academic Writing: A Comparison of DeepSeek, Qwen, ChatGPT, Gemini, Llama, Mistral, and Gemma
- College students' credibility assessments of GenAI‐generated information for academic tasks: An interview study
- Automated Text Generation and Summarization for Academic Writing
- Aplicaciones de inteligencia artificial en la escritura y la corrección académicas en la universidad: una revisión sistemática
- Authors, wordsmiths and ghostwriters: Early career researchers' responses to artificial intelligence
- How postgraduates navigate GenAI’s dual pathways between research creativity and academic plagiarism: research engagement and self-regulated learning matter
- The Apt Curation Model: An Epistemic Virtue Theory of AI-Assisted Authorship
- From digital divide to equity-enhancing diffusion: Generative AI and writing quality
- Delving into the Utilisation of ChatGPT in Scientific Publications in Astronomy
- How much are LLMs changing the language of academic papers after ChatGPT? A multi-database and full text analysis
- Empirical studies of writing and generative AI: Introduction to the special issue
- Limitations and mitigation strategies for using generative artificial intelligence in medical writing: a narrative review
- Introduction to generative artificial intelligence tools for academic article writing
- Generative AI and Students’ Voice in Academic Writing
- Self-reflection enhances large language models towards substantial academic response
- Generative AI in Higher Education: Uses and Ethical Dilemmas of Students
- Best Practices for the Use of Generative Artificial Intelligence for Authors, Peer Reviewers, and Editors
- Moving Academic Writing Forward with Artificial Intelligence in English Language Teaching: A Pedagogical Model from a Systematic Literature Review
- The impact of generative artificial intelligence on academic development of Chinese students in humanities and social sciences
- Marcas de inteligência artificial na escrita: vícios textuais, técnicas de autoria situada e protocolo de prompt para reconhecimento e revisão
- المسؤولية الاخلاقية للنخبة الاكاديمية في توظيف تطبيقات الذكاء الاصطناعي في كتابة البحوث العلمية:دراسة ميدانية على النخبة الأكاديمية بجامعة سرت
- Co-Writing with AI: An Empirical Study of Diverse Academic Writing Workflows
- Exploring Students’ Competence Development With Generative AI: A Design Science Research On Master’S Thesis Writing
- Process-Oriented Evaluation of AI-Assisted Scientific Writing
- Artificial Intelligence in Biomedical Scientific Publishing
- Strategies for AI Use in Thesis Writing among Undergraduate Language Students: A Think-Aloud Protocol
- MetricDraft: A Metric-Driven Framework for Academic Paper Draft Generation and Iterative Optimization
- PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers on Overleaf
- ỨNG DỤNG THÔNG MINH NHÂN TẠO (AI) TRONG NGHIÊN CỨU KHOA HỌC
- AI Writing Tools in Higher Education: A Narrative Review and Conceptual Framework for Ethical Use
- Arabic Academic Writing in the Age of GenAI: A Narrative Inquiry into Students Revision, Agency, and Dependency
- Reimagining writing assessment for the AI era: a systematic review on balancing AI support and authentic skill growth
- AI-Assisted Research Writing: Graduate Students' Experiences, Outcomes and Academic Integrity
- Using AI to Increase Research Capacity: The Writing to Improve Nursing Science (WINS) in the Caribbean Program
- How Far Are We From True Auto-Research?
- AI In Academic Publishing for Non‐Native English Speakers: The Good, the Bot, and the Ugly
- Harnessing Generative Artificial Intelligence for Academic Research: Capabilities, Challenges, and Ethical Implications
- Ce que l’IA fait à l’écriture scientifique
- Generative artificial intelligence as a research partner in orthopaedics: State of the art
- What Are LLMs Doing to Scientific Communication? Measuring Changes in Writing Practices and Reading Experience
- The Phenomenon of Artificial Intelligence in Assisting in Writing Maritime Student Papers
- Can we trust AI-assisted technical writing in electromagnetics? characteristic mode analysis for metasurface design as a stress test
- AI Affordances, Teacher Support, and Research-Writing Competence: The Mediating Roles of Self-Efficacy and Disposition
- pAI/MSc: ML Theory Research with Humans on the Loop
- AI-assisted writing and the reorganization of scientific knowledge
- Democratizing Scientific Publishing: A Local, Multi-Agent LLM Framework for Objective Manuscript Editing
- Comparative analysis of text readability and writing styles in AI-generated vs. Human-written academic abstracts
- Co-Authoring with AI: How I Wrote a Physics Paper About AI, Using AI
- Adoption of artificial intelligence tools for academic writing
- Paper Reconstruction Evaluation: Evaluating Presentation and Hallucination in AI-written Papers
- Mapping the AI revolution: A bibliometric analysis of ChatGPT's role in academic writing
- Constructing Legitimacy in AI-Assisted Academic Writing: Responsibility, Limitation, and Disclosure in Higher Education
- GigaChat rhetorical potential for transforming metadiscoursive patterns in Russian academic writing
- CoAuthorAI: A Human in the Loop System For Scientific Book Writing
- Algorithmic Mediation and Student Creativity: Large Language Models, Academic Writing, and the Convergence of Ideas in Irish Higher Education
- Sharpening the Pencil, Not Replacing the Hand: De‐Stigmatising AI Use in Research Writing
- AI And the Editors' Ghost: Who Is the Writer Now?
- Research LLM
- Impact of Large Language Models on Research Writing and Publication Practices
- Generatiivinen tekoäly ja tekijyys tieteellisessä julkaisemisessa : kirjallisuuskatsaus nykytilasta
- Theoretical Framework for an AI-Enhanced Pedagogical Technology to Develop Self-Editing Skills of Doctoral Students
- Graduate students and AI: Insights into academic writing practices
- Thinking Along the Lines Generated by GenAI? A Systematic Mapping Study on Academic Writing
- Ethical Challenges of Generative AI in Academic Writing
- MindStream: An AI-Era Research Framework
- AI-Powered Research
- FRAME: Feedback-Refined Agent Methodology for Enhancing Medical Research Insights
- Generative feedback: causal effects of LLM’s on writing quality and evaluative equity in higher education
- L’intelligenza della scrittura. Pratiche, percezioni e tensioni educative nell’epoca dell’IA
- The influence of AI text generators on critical thinking skills in UK business schools
- The value of GenAI for peer feedback provision: student perceptions and impacts
- Lessons from Real-World Deployment of a Cognition-Preserving Writing Tool: Students Actively Engage with Critical Thinking and Planning Affordances
- Can ChatGPT Scaffold Postgraduate Students’ Thesis Proposals? Voices of EFL Teachers and Students
- Lecturer's Perceptions and Strategies on ChatGPT Overreliance in ESL Academic Writing Among Undergraduates: A Case Study at a Malaysian Private University
- The Impact of Chatgpt on Students’ Academic Writing Performance: A Meta-Analytic Study
- Oportunidades e desafios da utilização da inteligência artificial generativa no ensino universitário
- ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?
- Practical and ethical challenges of large language models in education: A systematic scoping review
- AI-generated feedback on writing: insights into efficacy and ENL student preference
- Students’ use of large language models in engineering education: A case study on technology acceptance, perceptions, efficacy, and detection chances
- PEER: Empowering Writing with Large Language Models
- Human-AI Collaboration: A Student-Centered Perspective of Generative AI Use in Higher Education
- Influence of Prompts Structure on the Perception and Enhancement of Learning through LLMs in Online Educational Contexts
- Investigating the Potential of Large Language Models for Automated Writing Scoring
- Democratizing Writing Support with AI: Insights from One Year of Real-World Interactions with an Open-Access Writing Feedback Tool
- Transforming or Undermining Learning using GenAI: A Systematic Literature Review and Design Science Study
- Exploring Mexican Students’ Perceptions, Experiences and Concerns with ChatGPT in Academic Writing: A Mixed-Methods Study
- ChatGPT y educación. Adopción y usos por parte de estudiantes en la Argentina
- ChatGPT in ESL Writing: L2 Learners’ Practices and Perspectives
- ChatGPT for Education and Research: Opportunities, Threats, and Strategies
- GENERATIVE ARTIFICIAL INTELLIGENCE FOR MICROLEARNING CONTENT DEVELOPMENT: OPPORTUNITIES, CHALLENGES, AND PEDAGOGICAL FRAMEWORKS
- Reimagining Business Educators: Leveraging Generative AI for Enhanced Teaching
- Integrating AI into Learning English: University Students’ Perceptions and the Roles of Traditional Methods
Institutional Policy(35)
- GAIDeT (Generative AI Delegation Taxonomy): A taxonomy for humans to delegate tasks to generative artificial intelligence in scientific research and publishing
- Governing Generative Artificial Intelligence in Higher Education: A Cross-Case Thematic Analysis of Institutional Policies
- Generative AI and the future of higher education: a threat to academic integrity or reformation? Evidence from multicultural perspectives
- Publishers’ and journals’ instructions to authors on use of generative artificial intelligence in academic and scientific publishing: bibliometric analysis
- Can ChatGPT be an author? A study of artificial intelligence authorship policies in top academic journals
- Friend or foe? Exploring the implications of large language models on the science system
- Governing Epistemic Risk in Large Language Model Use for Art History and Art Criticism Instruction: A Policy Analysis
- INTEGRIDADE ACADÉMICA NA ERA DA INTELIGÊNCIA ARTIFICIAL: POLÍTICAS E ESTRATÉGIAS PARA UNIVERSIDADES AFRICANAS
- Artificial Intelligence and Academic Integrity in UK Higher Education: A Rapid Literature Review of Emerging Challenges, Institutional Policy Responses, and Future Research Directions
- From integrity to identity: course-level generative AI governance and scholarly subject formation in graduate education
- Adoption of generative AI at the Italian institute for astrophysics: a survey on usage trends, ethics, literacy, and Shadow IT
- An emerging AI4Academia model: exploring the ethical implications of GenAI in higher education
- Governing generative AI in higher education: a global Delphi study on policy and practice
- Generative AI in Academic Publishing
- The Attention Mismatch: Mapping the Structural Academic Governance Deficit in the Age of Generative AI
- Investigating the use of generative AI policies among ASPPH member schools and programs of public health
- Governing Artificial Intelligence in the Evolving Academic Publishing Ecosystem
- Ethical Challenges of Artificial Intelligence in Higher Education: A Four-Pillar Student-Activity Framework for Institutional Governance
- Policies and Guidelines for the Use of Artificial Intelligence in Latin American Journals Indexed in Scopus and Classified According to the Scimago Journal Rank (SJR)
- Toward Responsible Integration: A Review of Applications, Capabilities, and Perceptions of Generative AI in Higher Education
- Balancing regulation and innovation: the need for agile AI governance in higher education – a cross-country study
- Modelo conceptual y herramienta abierta para la declaración estandarizada del uso de IA generativa en la producción científica
- RESPONSIBLE USE OF AI-GENERATED CONTENT IN VIETNAMESE SCHOLARLY PUBLISHING: EVIDENCE FROM JOURNAL POLICIES AND EDITORIAL PRACTICES
- ChatGPT in Higher Education and Sustainable Development Goals: A Comparative Study of Institutional Perspectives from Developing and Developed Economies
- Systematised evidence mapping of generative artificial intelligence (GenAI) and digital divide phenomena in higher education
- AI Governance in Higher Education: Linking Policy,Cognitive Effort, and Academic Confidence
- A comprehensive AI policy education framework for university teaching and learning
- Sustainable AI-Driven Assessment in Higher Education: A Systematic Review of Fairness, Transparency, Pedagogical Innovation, and Governance
- Academic roles and competences in transition: digital transformation and university governance
- A Comparative Study of AI Tools Adoption and Its Impact on Educational Practices in Public and Private Universities
- Creating a Higher Education Ecosystem Based on Artificial Intelligence Implementation
- Mapping the AI Surge in Higher Education: A Bibliometric Study Spanning a Decade (2015–2025)
- A Learning Agreement for Generative AI Use in University Courses: A Pilot Study
- The Evolving Landscape of AI in Education: A Systematic Review of Contemporary Research (2024-2025)
- Ethical AI in Education: Principles, Governance, and Responsible Implementation
Epistemic Risk(26)
- ChatGPT and the rise of generative AI: Threat to academic integrity?
- AI vs academia: Experimental study on AI text detectors’ accuracy in behavioral health academic writing
- Research quality evaluation by AI in the era of large language models: advantages, disadvantages, and systemic effects – An opinion paper
- Exploring the Potential of GPT-2 for Generating Fake Reviews of Research Papers
- AI-Produced Humanities Research: On the Dangers of Technical Incrementalism
- Generative AI and the semiosic reconfiguration of knowledge organization – a preliminary exploration
- Epistemic Injustice in Generative AI: Probabilistic Generation, Trust Erosion, and the Structural Conditions of Algorithmic Knowledge Harm
- The Verification Budget: Pricing Scientific Credibility Under Near-Zero Generation Costs
- Investigating Novice Researchers' Perceptions of Research Privacy Within LLM-Assisted Workflows
- Dead Science Walking: Publication Bias and the AI Scientist Pipeline
- Thinking Through Signs: PEEL as a Semiotic Scaffolding for Epistemically Accountable AI-Enabled Research
- When AI outputs become documents: Documentation activity in human– AI dialogue
- Workflow Closure Is Not Scientific Closure in Auto-Research Systems
- State-of-the-Art Claims Require State-of-the-Art Evidence
- Toward an Engineering of Science: Rebalancing Generation and Verification in the Age of AI
- When AI Meets Science: Research Diversity, Interdisciplinarity, Visibility, and Retractions across Disciplines in a Global Surge
- The next paradigm in bioinformatics: a review of multi-agent systems and foundational models for end-to-end scientific discovery
- How Researchers Navigate Accountability, Transparency, and Trust When Using AI Tools in Early-Stage Research: A Think-Aloud Study
- Sound Agentic Science Requires Adversarial Experiments
- AI scientists produce results without reasoning scientifically
- Are Researchers Being Replaced by Artificial Intelligence?
- Scientific autonomy in the structural bubble: from institutional bias to AI-mediated consensus
- Does language bias GenAI academic evaluation in humanities and social sciences? A mixed‐methods study based on Chinese‐language HSS papers
- How AI use in scholarly publishing threatens research integrity, lessens trust, and invites misinformation
- The Epistemic Authorship Crisis in the Age of Generative AI: Overcoming the Responsibility Gap through Hyper Justification Obligations
- Inteligencia artificial generativa, paradigmas en crisis y el futuro epistémico de la investigación
Productivity Effects(38)
- Human-AI Collaboration in Science at Scale: A Global Large-scale Randomized Field Experiment
- Can ChatGPT enhance business student creativity? Evidence from a randomised controlled trial
- Artificial intelligence use and scientific innovation
- Artificial intelligence for research capacity strengthening: Two reviews and a pathway to shift power in global health
- From tool to partner: generative AI usage patterns and research performance among doctoral students
- Does Artificial Intelligence Advance Science?
- Claw AI Lab: An Autonomous Multi-Agent Research Team
- Advancing Mathematics Research with AI-Driven Formal Proof Search
- Working with Large Language Models: impacts on performance, efficiency and perceived responsibility
- Smaller, Younger, and More Impactful: How AI-Assisted Writing Transforms Research Teams
- The Shrinking Lifespan of LLMs in Science
- Beyond intention: Investigating the dynamics of AI tool usage and purchase behavior in scientific research
- Artificial Intelligence in Science: Returns, Reallocation, and Reorganization
- Can LLMs Produce Original Astronomy Research in a Semester? A Graduate Class Experiment
- The dual impact of generative AI on research: structural stability and attention reallocation
- Changes in Manuscript Length, Research Team Size, and International Collaboration in the Post-2022 Period: Evidence from PLOS ONE
- Many AI Analysts, One Dataset: Navigating the Agentic Data Science Multiverse
- Large Language Models in Academia: Boosting Productivity but Reinforcing Inequality
- Virtuous Machines: Towards Artificial General Science
- Cognitive ease at a cost: LLMs reduce mental effort but compromise depth in student scientific inquiry
- “ChatGPT seems too good to be true”: College students’ use and perceptions of generative AI
- To use or not to use ChatGPT in higher education? A study of students’ acceptance and use of technology
- Does ChatGPT enhance student learning? A systematic review and meta-analysis of experimental studies
- Tracing 40 years of research on Artificial Intelligence and human metacognition from 1985 to 2024
- Three Years with Classroom AI in Introductory Programming: Shifts in Student Awareness, Interaction, and Performance
- Impact of Large Language Models on Personalized Learning, Assessment Automation, and Student Outcomes in Higher Learning Institution
- Pedagogy with generative artificial intelligence: Opportunities and challenges in education
- Teacher support and student motivation to learn with Artificial Intelligence (AI) based chatbot
- Beware of metacognitive laziness: Effects of generative artificial intelligence on learning motivation, processes, and performance
- Impact of AI assistance on student agency
- Is it harmful or helpful? Examining the causes and consequences of generative AI usage among university students
- Computer Science Education in ChatGPT Era: Experiences from an Experiment in a Programming Course for Novice Programmers
- Generative artificial intelligence-driven adaptive learning for sustainable, personalized, and resilient education systems
- Evaluating and Validating Large Language Models for Health Education on Developmental Dysplasia of the Hip: 2-Phase Study With Expert Ratings and a Pilot Randomized Controlled Trial
- Do AI chatbots improve students learning outcomes? Evidence from a meta‐analysis
- Using ChatGPT is easy, using it effectively is tough? A mixed methods study on K-12 students’ perceptions, interaction patterns, and support for learning with generative AI chatbots
- Consulting in the Age of AI: A Qualitative Study on the Impact of Generative AI on Management Consultancy Services
- Artificial intelligence in EFL higher education: effects on academic performance and social competence
Systematic Review Automation(128)
- Artificial intelligence and the conduct of literature reviews
- Artificial intelligence for literature reviews: opportunities and challenges
- The emergence of large language models as tools in literature reviews: a large language model-assisted systematic review
- Large language models for conducting systematic reviews: on the rise, but not yet ready for use—a scoping review
- Automating Systematic Literature Reviews with Retrieval-Augmented Generation: A Comprehensive Overview
- A guide for structured literature reviews in business research: The state-of-the-art and how to integrate generative artificial intelligence
- Synthesizing scientific literature with retrieval-augmented language models
- Artificial Intelligence in Literature Review Synthesis: A Step-by-Step Methodological Approach for Researchers and Academics
- Prompt engineering of large language models for paper screening in medical meta-analyses and systematic reviews: A prospective comparative study
- LitLLMs, LLMs for Literature Review: Are we there yet?
- Leveraging LLMs for semi-automatic corpus filtration in systematic literature reviews
- Peer-reviewed by human experts: AI failed in key steps to generate a scoping review on the neural mechanisms of cross-education
- DESIGNING A HUMAN-AI COLLABORATIVE MODULAR APPROACH TO AUTOMATING SYSTEMATIC LITERATURE REVIEWS: FROM OBJECTIVES TO REPORTING
- Rayyan—a web and mobile app for systematic reviews
- Which academic search systems are suitable for systematic reviews or meta‐analyses? Evaluating retrieval qualities of Google Scholar, PubMed, and 26 other resources
- Hallucination Rates and Reference Accuracy of ChatGPT and Bard for Systematic Reviews: Comparative Analysis
- Using ChatGPT to conduct a literature review
- Should We Collaborate with AI to Conduct Literature Reviews? Changing Epistemic Values in a Flattening World
- Can generative AI reliably synthesise literature? exploring hallucination issues in ChatGPT
- Towards an Integrative Approach for Automated Literature Reviews Using Machine Learning
- Automating Research Synthesis with Domain-Specific Large Language Model Fine-Tuning
- LitLLM: A Toolkit for Scientific Literature Review
- Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation
- Cutting Through the Clutter: The Potential of LLMs for Efficient Filtration in Systematic Literature Reviews
- AutoSurvey: Large Language Models Can Automatically Write Surveys
- Towards a Semi-Automated Approach for Systematic Literature Reviews
- ChatCite: LLM Agent with Human Workflow Guidance for Comparative Literature Summary
- Automated systematic reviews using machine learning and large language models in clinical practice guideline development: A perspective
- Empowering biological knowledgebases: advances in human-in-the-loop AI-driven literature curation
- Natural language processing enhanced literature reviews
- LitFM: A Retrieval Augmented Structure-aware Foundation Model For Citation Graphs
- Automating in High-Expertise, Low-Label Environments: Evidence-Based Medicine by Expert-Augmented Few-Shot Learning
- SurveyGen: Quality-Aware Scientific Survey Generation with Large Language Models
- CycleResearcher: Improving Automated Research via Automated Review
- vitaLITy 2: Reviewing Academic Literature Using Large Language Models
- Validating Large Language Models for Title-Abstract Screening in Low-Prevalence Systematic Reviews: An Environmental Science Case Study
- LiRA: A Multi-Agent Framework for Reliable and Readable Literature Review Generation
- Exploring the Use of ChatGPT for a Systematic Literature Review: a Design-Based Research
- A Literature Review of Literature Reviews in Pattern Analysis and Machine Intelligence
- Semantic Periphery Detection in Academic Keyword Space: An Embedding-Driven Framework for Automated Research Gap Identification
- Optimal Multi-Model Embedding Combinations for Bibliometric Screening in Systematic Literature Reviews
- Automated Identification of Research Gaps Using Keyword Clustering and an Embedding Model
- Supporting Literature Reviews: A Comparison Between Human and Generative Artificial Intelligence Screening for a Scoping Review.
- On the utility of ChatGPT in conducting a literature review on deep learning for dopamine transporter SPECT with [¹²³I]ioflupane
- Anything you can do, A-I can do better... Or can it? Comparing ChatGPT's Search Strategy Outputs with Cochrane Review Searches
- AI-Augmented Systematic Review of Remote Sensing and Predictive Modelling for Mycotoxin Risk Monitoring in Cereal Crops Across Central and Balkan Europe
- Closing the screening gap but not the writing gap: a two-topic evaluation of LLMs for systematic reviews and meta-analyses in hepatology
- REFLECTIVE-TIAB: cost-effective prompt optimization for large language model-based title and abstract screening in literature reviews
- Prompt engineering of large language models for paper screening in medical meta-analyses and systematic reviews: A prospective comparative study – CORRIGENDUM
- Automating abstract screening in research synthesis using large language models: A tutorial and proof-of-concept study
- Which Sections of a Research Paper Best Reveal Its Research Methods? Evidence from Library and Information Science
- Understanding LLMs in Title-Abstract Screening: From Disagreements to Recommendations
- A Pilot Project Leveraging Large Language Models for Automated Screening and Variable Extraction in Observational Studies
- Towards LLM Accelerated Rapid Reviews for Software Tool Discovery -- Case for Log Anomaly Detection
- AI-Assisted Systematic Literature Review of the Economic Burden of Pneumococcal Disease: Development and Validation Study
- Benchmarking LLM Agents on Meta-Analysis Articles from Nature Portfolio
- Active Learning In Systematic Literature Screening: Benchmarking Ai-Assisted Screening Against Human Consensus
- Multi-Agent AI Systems for Detecting Emerging Therapeutic Targets and Intervention Patterns in Neuroplasticity Research
- Large language models for scientometric mapping of scientific controversy: A validated hybrid AI–Human framework
- Using full agreement across multiple large language models for title-and-abstract screening in systematic reviews: a proof-of-concept
- Rapid evidence mapping of soil fauna responses to agricultural management assisted by large language models
- Comparing supervised machine learning and large language models in title-abstract screening
- SLRMentor: An LLM-Based Tool Supporting Learning of SLR in Software Engineering
- LLMs as Tools for Low-Priority Scientific Intelligence
- Evaluating machine learning tools to assist title and abstract screening in systematic literature reviews: a report based on the EULAR RA Management Recommendations Task Force
- AutoSci: A Memory-Centric Agentic System for the Full Scientific Research Lifecycle
- Using Elicit AI research assistant for data extraction in systematic reviews: A feasibility study across environmental and life sciences
- A large language model-driven scientific literature surveys generation framework based on multi-agents and retrieval-augmented generation
- A Framework For Designing Ai-Supported Literature Reviews Under Varying Agency Roles: A Design Science Research Approach
- Scaffolding systematic reviews in learning design and technology through mentoring and AI integration
- How Much Structure Do LLMs Need? Evaluating LLMs for Bibliometric Cluster Description
- Peer Review Report For: Evaluation of automated assessments of systematic review adherence to the PRISMA 2020 statement: study protocol [version 1; peer review: 1 approved with reservations]
- A Hybrid Delphi-Inspired Expert–LLM Workflow for Efficient Evidence Screening in Systematic Reviews
- OpenExtract: Automated Data Extraction for Systematic Reviews in Health
- The use of generative AI tools for students’ research support within higher education institutions' libraries: a systematic literature review
- Hypothesis-Driven Deep Research with Large Language Models: A Structured Methodology for Automated Knowledge Discovery
- jooguilhermesc/lutz: # Lutz v0.1.1 Release Notes - DOI
- ZeroPaper: An Autonomous Research System
- Novel Abstract Screening Algorithm Using Delphi-Inspired Large Language Model Consensus for Systematic Reviews in Psychiatry: Nouvel algorithme de sélection des résumés utilisant un consensus issu d’un grand modèle de langage inspiré de la méthode Delphi pour les revues systématiques en psychiatrie
- Automated approaches to identifying clinical trials based on title and abstract in the field of physiotherapy: a comparative analysis
- Beyond Accuracy: LLM Variability in Evidence Screening for Software Engineering SLRs
- DRACULA: Hunting for the Actions Users Want Deep Research Agents to Execute
- A Large-Scale, Cross-Disciplinary Corpus of Systematic Reviews
- MasterSet: A Large-Scale Benchmark for Must-Cite Citation Recommendation in the AI/ML Literature
- LR-Robot: An Human-in-the-Loop LLM Framework for Systematic Literature Reviews with Applications in Financial Research
- Comparing Single-Agent and Multi-Agent Strategies in LLM-Based Title-Abstract Screening
- TiAb Review Plugin: A Browser-Based Tool for AI-Assisted Title and Abstract Screening
- Paper Circle: An Open-source Multi-agent Research Discovery and Analysis Framework
- LitPivot: Developing Well-Situated Research Ideas Through Dynamic Contextualization and Critique within the Literature Landscape
- Auditing GenAI Literature Search Workflows: A Replicable Protocol for Traceable, Accountable Retrieval in Student-Facing Inquiry
- BibliZap: An exploratory evaluation of an automated multi-level citation searching tool for systematic and rapid reviews
- Applications of Large Language Models in Medical Research: From Systematic Reviews to Clinical Studies
- Collaborating with large language models in literature screening for a systematic review of college students’ GenAI literacy
- LR-Robot: A Unified Supervised Intelligent Framework for Real-Time Systematic Literature Reviews with Large Language Models
- ResearchPilot: A Local-First Multi-Agent System for Literature Synthesis and Related Work Drafting
- Writing literature reviews with AI: principles, hurdles and some lessons learned
- Accuracy and efficiency of using artificial intelligence for data extraction in systematic reviews. A noninferiority study within reviews
- Fully Automated Systematic Review Generation via Large Language Models: Quality Assessment and Implications for Scientific Publishing
- Large language models in systematic review and meta-analysis of surgical treatments for vaginal vault prolapse
- Study protocol for evaluating automation of systematic review processes with EPPI-Reviewer and Copilot 365 in updating the cataract evidence gap map
- Collaborative large language models (LLMs) are all you need for screening in systematic reviews
- L-PRISMA: An Extension of PRISMA in the Era of Generative Artificial Intelligence (GenAI)
- Assessing Large Language Models for Early Article Identification in Otolaryngology—Head and Neck Surgery Systematic Reviews
- MVSS: A Unified Framework for Multi-View Structured Survey Generation
- ARTIFICIAL INTELLIGENCE AND OPTIMIZATION WITH THE METHOD REVIEW PROCESS INTEGRATED
- Causal-Enhanced AI Agents for Medical Research Screening
- Designing Conversational Agents for Search String Development in Literature Reviews
- AI TOOLS FOR LITERATURE REVIEW AND KNOWLEDGE MAPPING: EMPOWERING RESEARCH EXCELLENCE IN ACADEMIC WRITING AND PUBLISHING
- Utilizing Artificial Intelligence to create narrative literature reviews
- AI in Research: Smarter Strategies for Literature Reviews
- The Path to Comprehensiveness: An LLM-Enhanced Systematic Literature Review on the Innovation Mindset
- Trustworthy AI to conduct literature reviews
- The Role of Large Language Model (LLM)- Reasoning Agents in Conducting IS Surveys
- A Knowledge Graph-Based RAG-GLLM Approach for LiteratureReview and Knowledge Discovery
- Using AI to boost scoping reviews : exploring AI deployment in obstetrics and gynaecology as an exemplar
- AI ‐Augmented Search for Systematic Reviews: A Comparative Analysis
- SurGE: A Benchmark and Evaluation Framework for Scientific Survey Generation
- SurveyGen-I: Consistent Scientific Survey Generation with Evolving Plans and Memory-Guided Writing
- Applying LLMs and Semantic Technologies for Data Extraction in Literature Reviews
- Mixture of Knowledge Minigraph Agents for Literature Review Generation
- The Design and Evaluation of the Collaboration between Researchers and Generative AI for Systematic Literature Reviews
- Einsatz KI-gestützter Systeme für Literaturreviews Explorative Analyse und kritische Reflexion
- KNIMEZoBot: Enhancing Literature Review with Zotero and KNIME OpenAI Integration using Retrieval-Augmented Generation
- Role of AI chatbots in education: systematic literature review
- Guidance for conducting systematic scoping reviews
- PRISMA Extension for Scoping Reviews (PRISMA-ScR): Checklist and Explanation
- Cochrane Handbook for Systematic Reviews of Interventions
- Updated methodological guidance for the conduct of scoping reviews
AI Peer Review(83)
- Generative Adversarial Reviews: When LLMs Become the Critic
- Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the Future
- SafeReview: Defending LLM-based Review Systems Against Adversarial Hidden Prompts
- ReviewBench: An Extensible Framework for Benchmarking Human and AI Manuscript Review
- AI-Assisted Peer Review at Scale: The AAAI-26 AI Review Pilot
- Beyond Detection: Governing GenAI in Academic Peer Review as a Sociotechnical Challenge
- AI in peer review: can artificial intelligence be an ally in reducing gender and geographical gaps in peer review? A randomized trial
- AI-assisted peer review
- Fighting reviewer fatigue or amplifying bias? Considerations and recommendations for use of ChatGPT and other large language models in scholarly peer review
- Artificial intelligence to support publishing and peer review: A summary and review
- Ethical Dilemmas in Using AI for Academic Writing and an Example Framework for Peer Review in Nephrology Academia: A Narrative Review
- Artificial Intelligence in Peer Review: Enhancing Efficiency While Preserving Integrity
- Death of a reviewer or death of peer review integrity? the challenges of using AI tools in peer reviewing and the need to go beyond publishing policies
- Human-in-the-Loop AI Reviewing: Feasibility, Opportunities, and Risks
- Peer Review in the Age of Generative AI
- Enhancing peer review efficiency: A mixed‐methods analysis of artificial intelligence‐assisted reviewer selection across academic disciplines
- Democratizing Knowledge Creation Through Human-AI Collaboration in Academic Peer Review
- Evaluating the predictive capacity of ChatGPT for academic peer review outcomes across multiple platforms
- The Other Reviewer: RoboReviewer
- KID-Review: Knowledge-Guided Scientific Review Generation with Oracle Pre-training
- Reimagining the Journal Editorial Process: An AI-Augmented Versus an AI-Driven Future
- Position Statement on Artificial Intelligence (AI) Use in Evidence Synthesis Across Cochrane, the Campbell Collaboration, JBI, and the Collaboration for Environmental Evidence 2025
- LLM4SCREENLIT: Recommendations on assessing the performance of large language models for screening literature in systematic reviews
- Reflections on the impact of artificial intelligence on peer-review practices and its implications for greener scientific evaluation
- Attitudes and Perceptions Toward the Use of Artificial Intelligence Chatbots for Peer Review in Medical Journals: A Large-Scale, International Cross-Sectional Survey
- Can AI Solve the Peer Review Crisis? A Large Scale Cross Model Experiment of LLMs' Performance and Biases in Evaluating over 1000 Economics Papers
- Do LLMs Favor LLMs? Quantifying Interaction Effects in Peer Review
- AI in the gatekeeper’s chair: elite researchers’ perceptions of AI-assisted feedback in journal peer review
- Benchmarking Agentic Review Systems
- Intelligence Is Not the Bottleneck: Validating an LLM First-Pass Manuscript Score Against Peer-Review Outcomes
- No Hidden Prompts Needed! You Can Game AI Peer Review with Presentation-Only Revisions
- From Passive Generation to Investigation: A Proactive Scientific Peer Review Agent
- Does AI Reviewer See the Full Picture? Attacking and Defending Multimodal Peer Review
- Prêt-à-Submit: Desarrollo y evaluación de una herramienta basada en LLMs para la revisión automática de listas de verificación de conferencias académicas
- Gaming AI-Assisted Peer Reviews Poses New Risks to the Scientific Community
- Review the Code, Not the Story: A Vision and Protocol for Code-First Peer Review
- The State of Peer Review in Empirical Software Engineering: A Community Survey on Review Load, Quality, and GenAI Use
- Are AI Tools Tougher Reviewers Than Toxicologists? Artificial Intelligence as Editor and Peer Reviewer of Scientific Manuscripts in Toxicology
- Using Design Theory To Understand Human-Machine Collaborative Review
- PRAIB: Peer Review AI Benchmark of Behaviour of LLM-Assisted Reviewing
- SoundnessBench: Can Your AI Scientist Really Tell Good Research Ideas from Bad Ones?
- Review Arcade: On the Human Alignment and Gameability of LLM Reviews
- PRISM: A Multi-Dimensional Benchmark for Evaluating LLM Peer Reviewers
- TADDLE: A Tool-Augmented Agent for Detecting Deficient LLM-Generated Peer Reviews
- LLM-as-a-Reviewer: Benchmarking Their Ability, Divergence, and Prompt Injection Resistance as Paper Reviewers
- On the limits and opportunities of AI reviewers: Reviewing the reviews of Nature-family papers with 45 expert scientists
- CoCoReviewBench: A Completeness- and Correctness-Oriented Benchmark for AI Reviewers
- Jagged AI in Scientific Peer Review: Evidence from POMP Data Analysis
- AI Consensus Validation in Biomedical Research: A Review, Conceptual Framework,and Future Directions
- Shattering the Echo Chamber: Hidden Safeguards in Manuscripts Against the AI Takeover of Peer Review
- Evaluating large language models for abstract evaluation tasks: an empirical study
- Stop Automating Peer Review Without Rigorous Evaluation
- Buying the Right to Monitor:Editorial Design in AI-Assisted Peer Review
- Impact of large language models on peer review opinions from a fine-grained perspective: Evidence from top conference proceedings in AI
- What Makes a Good AI Review? Concern-Level Diagnostics for AI Peer Review
- Peerispect: Claim Verification in Scientific Peer Reviews
- ReviewGrounder: Improving Review Substantiveness with Rubric-Guided, Tool-Integrated Agents
- Demanding peer review is associated with higher impact in published science
- GoodPoint: Learning Constructive Scientific Paper Feedback from Author Responses
- NovBench: Evaluating Large Language Models on Academic Paper Novelty Assessment
- Are we still able to recognize pearls? Machine-driven peer review and the risk to creativity: An explainable RAG-XAI detection framework with markers extraction
- Are Non-English Papers Reviewed Fairly? Language-of-Study Bias in NLP Peer Reviews
- AI-Augmented Peer Review and Scientific Productivity: A Cross-Country Panel and SEM Analysis
- Beyond Paper-to-Paper: Structured Profiling and Rubric Scoring for Paper-Reviewer Matching
- Publish and Perish: How AI-Accelerated Writing Without Proportional Verification Investment Degrades Scientific Knowledge
- If you really want to know how AI is changing peer review and where it is taking us, talk to early career researchers
- OpenCLAW-P2P v6.0: Resilient Multi-Layer Persistence, Live Reference Verification, and Production-Scale Evaluation of Decentralized AI Peer Review
- FactReview: Evidence-Grounded Peer Review with Execution-Based Claim Verification
- Prompt injection in manuscripts: exploiting loopholes or crossing ethical lines?
- From Isolated Scoring to Collaborative Ranking: A Comparison-Native Framework for LLM-Based Paper Evaluation
- The Role of Artificial Intelligence in the Lifecycle of Scientific Manuscripts: Authoring, Reviewing, and Editorial Selection
- Is Peer Review Really in Decline? Analyzing Review Quality across Venues and Time
- Generative artificial intelligence and editorial ethics: a roadmap for Health & New Media Research
- AstroReview: An LLM-driven Multi-Agent Framework for Telescope Proposal Peer Review and Refinement
- Harnessing generative AI to drive responsible business research and accelerate social impact
- Un/Sustainable Peer Review and Generative AI: Ethical Gaps, Editorial Acceleration, and the Whitewashing of Technological Solutionism
- AI-Driven Scholarly Peer Review via Persistent Workflow Prompting, Meta-Prompting, and Meta-Reasoning
- Generative Reviewer Agents: Scalable Simulacra of Peer Review
- Human-AI Collaboration in Peer Review Manuscript
- Computational Support in Academic Peer Review: An Artificial Intelligence Perspective
- The Future of Feedback: Integrating Peer and Generative AI Reviews to Support Student Work
- AI assistance in peer feedback provision: Pedagogically sound, but minimally adopted
- LLMs Do Not Grade Essays Like Humans
Citation Integrity(37)
- Compound Deception in Elite Peer Review: A Failure Mode Taxonomy of 100 Fabricated Citations at NeurIPS 2025
- Using ChatGPT in academic writing is (not) a form of plagiarism: What does the literature say?
- Transparency in research: An analysis of ChatGPT usage acknowledgment by authors across disciplines and geographies
- The digital erosion of intellectual integrity: why misuse of generative AI is worse than plagiarism
- Understanding AIgiarism in higher education: the lens of general AI attitudes and moral disengagement
- Can social media provide early warning of retraction? Evidence from critical tweets identified by human annotation and large language models
- Attribution in Scientific Literature: New Benchmark and Methods
- The crisis of manufactured scholarship: confronting AI-driven “letter-bombing” and profile inflation in medical journals
- OpenBioRQ: Unsolved Biomedical Research Questions for Agents
- Designing Trustworthy Genai: Citation Mechanisms For Calibrating Employee Trust In Organizational Contexts
- Authority, Truth, and Citation Bias: A Large-Scale Multi-Domain Benchmark for Studying Epistemic Susceptibility in Large Language Models
- Computer-generated content and the AI/ML retraction record, 2018-2026: a characterization study
- CiteCheck: Retrieval-Grounded Detection of LLM Citation Hallucinations in Scientific Text
- Source or It Didn't Happen: A Multi-Agent Framework for Citation Hallucination Detection
- A call for clarity: a unified checklist for reporting use of large language models in writing scientific manuscripts
- Transparency gap in AI-assisted medical writing and its implications for research integrity
- On the Vulnerability of Citation Metrics in the Era of Generative Artificial Intelligence
- Citation Hallucination Determines Success: An Empirical Comparison of Six Medical AI Research Systems
- Citations to ChatGPT: A Cited Reference Analysis Across Disciplines
- Cheating, Chatbots, and Change: A Bibliometric Mapping of Academic Integrity and Generative AI in Higher Education
- Performance of AI Tools in Citing Retracted Literature : Content Analysis
- Generative AI as a historical source: source criticism, citation integrity, and the jagged frontier of digital history
- Comparing the Accuracy of 4 Artificial Intelligence Models in PubMed Citation Generation for Glaucoma Research
- citecheck: An MCP Server for Automated Bibliographic Verification and Repair in Scholarly Manuscripts
- FineRef: Fine-Grained Error Reflection and Correction for Long-Form Generation with Citations
- Detecting Citation Hallucinations in Large Language Model Outputs (Student Abstract)
- Integrity under pressure: on generative AI, fabricated references and ethical publishing
- Citing the Uncitable: Developing Standards for AI and New Media in Scholarly Work
- GhostCite: A Large-Scale Analysis of Citation Validity in the Age of Large Language Models
- The Case of the Mysterious Citations
- Probabilistic Obliteration and Formulaic Fabrication
- Plagiarism Ethics in Higher Education and Scholarly Publishing: A Systematic Literature Review of Behaviors, Policies and AI-Driven Challenge
- Unraveling the Ai2 Asta Scholarly Research Assistant Citation System
- Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models
- Academic Integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond
- ChatGPT in higher education - a synthesis of the literature and a future research agenda
- Artificial intelligence and academic integrity: exploring plagiarism in Ecuadorian universities
Multi-Domain(7)
- LLM4SR: A Survey on Large Language Models for Scientific Research
- AI for Auto-Research: Roadmap & User Guide
- ChatGPT in Teaching-Learning and Research: A Systematic Review
- AI Scientists as Engines of Discovery: A Case for Development within Reformed Institutions
- Scholarly Communications in 2025: An Aerial Evaluation of a System Challenged by AI and Much More
- A Brief History of AI for Scientific Discovery: Open Research, Metrics, and Autonomous Agents
- Vibe Researching as Wolf Coming: Can AI Agents with Skills Replace or Augment Social Scientists?
Scholarly Publishing(10)
- Evolving Epistemic Infrastructure: The Role of Scientific Journals in the Age of Generative AI
- The 2025 Landscape of Generative AI in Scholarly Writing and Publishing: A Scoping Review of Uses and Ethical Approaches
- Whose English counts? Linguistic justice, gatekeeping, and AI-mediated language policy in academic publishing
- Traxia: A Framework for Verifiable, Agent-Native Scientific Publishing
- AiraXiv: An AI-Driven Open-Access Platform for Human and AI Scientists
- Generative AI in Academic Publishing: A Bibliometric Analysis and Emerging Debates on Integrity, Authorship, and Language Equity
- Agentic publications: redesigning scientific publishing in the age of thinking large language models
- Have Large Language Models Enhanced the Way Civil & Environmental Engineers Write? A Quantitative Analysis of Scholarly Communication over 25 Years
- Use of Generative AI in Scholarly Research: Challenges and Opportunities
- AI-Enhanced Scholarly Communication: Transforming Peer Review, Knowledge Dissemination, and Academic Publishing Workflows in the Digital Era
Qualitative Coding with AI(15)
- Using Large Language Models to Support Thematic Analysis in Empirical Legal Studies
- Leveraging large language models for thematic analysis: a case study in the charity sector
- Differences in User Perception of Artificial Intelligence-Driven Chatbots and Traditional Tools in Qualitative Data Analysis
- Leveraging Large Language Models for Automating Inductive Qualitative Coding: A Comparative Study of Prompt Engineering Techniques
- ANAQUALI: DEVELOPMENT OF A GENERATIVE AI-BASED ASSISTANT TO SUPPORT BARDIN'S CONTENT ANALYSIS – AN EXPERIENCE REPORT
- GAIVA: A Generative AI Framework for Human-AI Collaboration in Educational Video Analysis
- The use and methodological reporting of large language models in qualitative research: a scoping review
- Beyond Augmentation: Epistemic Complementarity in LLM-Assisted Qualitative Analysis
- Structuring Human-AI Productive Interdependence by Strategic Level of Automation Selection for Qualitative Inquiry
- The Role of Generative Artificial Intelligence in the Analysis of Qualitative Data Compared With Human-Led Analysis
- Multi-Stage LLM Pipeline to Support Qualitative Content Analysis – A Proof of Concept Experiment with Expert Validation
- Higher Education Faculty Members’ Perceptions of an AI-driven Qualitative Data Analysis Tool for Their Research: An Exploratory Study
- A Human-Centered Workflow for Using Large Language Models in Content Analysis
- Generative artificial intelligence tools
- Using Artificial Intelligence to Code Unstructured Research Data
Meta-Analysis Automation(10)
- Transforming evidence synthesis: A systematic review of the evolution of automated meta-analysis in the age of AI
- Automating data extraction in meta-research: A multi-model benchmark in network psychometrics papers
- Compliance of systematic reviews and meta-analyses in ophthalmology with the PRISMA statement: an AI-based assessment and longitudinal comparison with 2017 data
- MedGenesis: Toward a World Model for Autonomous Clinical and Translational Research
- EmBodyMeta
- Can AI Agents Synthesize Scientific Conclusions?
- AutoForest: Automatically Generating Forest Plots from Biomedical Studies with End-to-End Evidence Extraction and Synthesis
- MedMeta: A Benchmark for LLMs in Synthesizing Meta-Analysis Conclusion from Medical Studies
- Automated Data Extraction by Large Language Models: Assessing Accuracy in Comparison to Human Experts Using the Example of Visible Learning
- Trend Analysis and LLM Agent-Generated Report of ChatGPT Applications in Healthcare
Reproducibility with AI(13)
- ARA: Agentic Reproducibility Assessment For Scalable Support Of Scientific Peer-Review
- ARIS: Autonomous Research via Adversarial Multi-Agent Collaboration
- Assessing the sustainable development of a national research ecosystem: A generative AI-based evaluation of empirical educational research in China (2004–2023)
- Is Llm-Based Synthetic Data Research In Information Systems Replicable?
- SPIRIT-CONSORT-ELM: Element-Level Assessment of Randomized Controlled Trial Reporting Using Large Language Models
- Automated reproducibility assessments in the social and behavioral sciences using large language models
- AI Coding Agents Can Reproduce Social Science Findings
- AI-assisted teams outperform AI-led teams but not human-only teams in assessing research reproducibility in quantitative social science
- Semantic stability protocol: intercoder reliability for zero-shot classification via AI coders
- HydroScholar AI: A Collaborative Agent for End-to-End Automated Hydrological Research Lifecycle
- ReplicatorBench: Benchmarking LLM Agents for Replicability in Social and Behavioral Sciences
- AI Research Is Not Magic, It Has to Be Reproducible and Responsible: Challenges in the AI Field from the Perspective of Its PhD Students
- Estimating the reproducibility of psychological science
Authorship & Attribution(16)
- Sem-Detect: Semantic Level Detection of AI Generated Peer-Reviews
- Nonhuman “Authors” and Implications for the Integrity of Scientific Publication and Medical Knowledge
- Letter to editor: NLP systems such as ChatGPT cannot be listed as an author because these cannot fulfill widely adopted authorship criteria
- ChatGPT as an “author”: Bibliometric analysis to assess the validity of authorship
- Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges
- Is AI my co-author? The ethics of using artificial intelligence in scientific publishing
- ChatGPT isn’t an author, but a contribution taxonomy is needed
- What Is a Person? Emerging Interpretations of AI Authorship and Attribution
- AI, originality, and attribution: Researchers’ perspectives on distinguishing contributions
- Is AI-Produced Humanities Scholarship a Case of Research Misconduct?
- When AI Writes the Letters: Recognizing Synthetic Authorship Patterns in Medical Publishing
- Scientific Artificial Intelligence: From a Procedural Toolkit to Cognitive Coauthorship
- Operation-Guided Progressive Human-to-AI Text Transformation Benchmark for Multi-Granularity AI-Text Detection
- Human versus artificial intelligence: investigating ability of young academics from research and non-research institutions to identify ChatGPT-generated dental research abstracts
- A Word Embeddings and Stylistic Features based Approach for Generative AI Authorship Verification
- The Erosion of LLM Signatures: CanWe Still Distinguish Human and LLM-Generated Scientific Ideas After Iterative Paraphrasing?