RESEARCHMonitorWATCHLIST
Pairing Expert Critique with LLM-Driven Refinement: An Iterative Approach for Curating Quality AI Evaluation Datasets
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Researchers introduced SME-C, a human-in-the-loop framework using expert critiques and LLMs to efficiently curate AI evaluation data.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 5 November 2026
- Collected by OneBench
- 6 Nov 2026, 02:02 UK
Stored source excerpt
arXiv:2611.05749v1 Announce Type: cross Abstract: Evaluating and improving domain-specific LLM responses requires high-quality reference data and rubrics, yet expert authoring is slow and expensive, and…
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