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Research method
Experimental
The Experimental method comprises 1,307 papers in this corpus published between 1981 and 2026.
Themes covered
- Hallucination Control248 (19%)
- Responsible AI Use203 (16%)
- Evaluation & Benchmarks137 (10%)
- AI-Assisted Discovery130 (10%)
- RAG for Research109 (8%)
- Productivity Effects98 (7%)
Research domains
- Research Integrity274 (21%)
- Human-AI Collaboration231 (18%)
- Data Analysis158 (12%)
- Research Productivity107 (8%)
- Academic Writing104 (8%)
- Bias & Epistemic Risk76 (6%)
Frequent sub-topics
LLM performance in clinical decision support · 2detection of AI-generated survey responses from large language models · 1moral consistency in LLM decision-making under prompt perturbations · 1ai_collaboration_modalities_and_job_interview_performance · 1embodied_ai_presence_in_academic_study · 1AI Guard-Down Effect and cognitive offloading in cybersecurity and privacy behaviors · 1wisdom of crowds approach with LLM agents for fraud detection · 1employee resistance to Gen AI adoption and explainability · 1
Representative papers
- Prompt engineering of large language models for paper screening in medical meta-analyses and systematic reviews: A prospective comparative study2026 · 4 citations
- Autonomous chemical research with large language modelsDaniil A. Boiko · 2023 · 809 citations
- Can ChatGPT be an author? Generative AI creative writing assistance and perceptions of authorship, creatorship, responsibility, and disclosurePaul Formosa · 2024 · 37 citations
- AI vs academia: Experimental study on AI text detectors’ accuracy in behavioral health academic writingAndrey A Popkov · 2024 · 24 citations
- Does ChatGPT Ignore Article Retractions and Other Reliability Concerns?Mike Thelwall · 2025 · 11 citations
- Can ChatGPT enhance business student creativity? Evidence from a randomised controlled trialRosemary Fisher · 2025 · 11 citations
- Exploring the Potential of GPT-2 for Generating Fake Reviews of Research PapersAlberto Bartoli · 2020 · 8 citations
- Mapping the Challenges of HCI: An Application and Evaluation of ChatGPT for Mining Insights at ScaleJonas Oppenlaender · 2026 · 5 citations