12,637 papers · updated 18 Sept 2026livingmeta.ai
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Research theme

Evaluation & Benchmarks

The Evaluation & Benchmarks theme comprises 1,115 papers in this corpus published between 2002 and 2026. Work here is dominated by Benchmarking, Empirical Study, Experimental. 5 open research gaps have been surfaced in this area.

Methodology profile

  • Benchmarking534 (48%)
  • Empirical Study212 (19%)
  • Experimental139 (12%)
  • Design Science84 (8%)
  • Literature Review51 (5%)
  • Conceptual17 (2%)

Research domains

  • Data Analysis467 (42%)
  • Research Productivity150 (13%)
  • Research Integrity104 (9%)
  • Scholarly Infrastructure88 (8%)
  • Knowledge Synthesis71 (6%)
  • AI Governance67 (6%)

Frequent sub-topics

LLM performance in clinical decision support · 2machine learning for mass cytometry data analysis in chronic lymphocytic leukaemia · 1information extraction from epidemiological data using generative AI · 1Explainable machine learning for predictive modeling · 1domain-specific LLM evaluation for supply chain management · 1inter-model agreement in LLM-based cultural annotation of consumer reviews · 1machine learning for food security prediction · 1long document question answering with transformer models and contrastive learning · 1

Open research gaps

  • The authors identify that existing benchmarks lack comprehensive coverage and fine-grained metadata for evaluating foundation models, and that current benchmarks may miss performance differences acros
  • The abstract does not explicitly identify future research directions or gaps, though it implies questions about why LLMs fail to match theoretical predictions and whether different architectural or tr
  • The authors identify that "existing evaluation frameworks do not adequately address multi-agent systems that combine simulation, retrieval, and manufacturing preparation," indicating this gap motivate
  • The paper does not explicitly identify future research directions in the provided abstract. The focus is on synthesizing existing pathologies and identifying the shared design principle of measurement
  • The authors identify the gap that existing benchmarks lack "a competency-based structure aligned with the real-world clinical responsibilities encountered in general practice", and note that "further

Representative papers

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