Researchragevaluationllm judgesmetric overfitting
Nugget-Based RAG Systems Expose Evaluation Circularity
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9.1
Researchers (Dietz et al.) on Jan 19, 2026, show that nugget-based retrieval-augmented generation (RAG) systems can produce inflated evaluation results when optimized against LLM judges. In experiments comparing Ginger and Crucible to GPT-Researcher, deliberately modified Crucible achieved near-perfect scores when prompts or gold nuggets leaked or became predictable. The authors call for blind evaluation settings and methodological diversity to prevent metric overfitting.
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High novelty and broad impact drive score; limited by single arXiv preprint lacking peer review.
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