RESEARCHMonitorWATCHLIST
From Uncertain Judgments to Calibrated Rankings: Conformal Elo Estimation for LLM Evaluation
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
Researchers introduced Conformal Elo Estimation to calibrate LLM-as-a-judge rankings and quantify uncertainty against human annotations.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 27 October 2026
- Collected by OneBench
- 28 Oct 2026, 02:02 UK
Stored source excerpt
arXiv:2606.13221v3 Announce Type: replace Abstract: Evaluating new large language models typically requires costly human annotation campaigns at scale. LLM-as-a-judge offers a cheaper alternative, but judge…
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