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matCercola18/quotient-margins-reward-models

Quotient Margins for Reward Models — data release Artifacts backing the paper Measure Confidence on Decisions, Not Samples: Quotient Margins for Reward Models. The short version of the paper. Reward models pick the best of N sampled responses, but their confidence is normally read off the reward gap between the top two samples. When several candidates express the same underlying behaviour, that gap is a within-class spacing and its predictive signal cancels. Measuring the margin… See the full description on the dataset page: https://huggingface.co/datasets/matCercola18/quotient-margins-reward-

Author / organizationmatCercola18
License (as declared)apache-2.0
Downloads324 (as reported by Hugging Face)
Likes0
Created13 September 2026
Last updated at source17 October 2026
reward-modelsrlhfbest-of-nuncertaintyselective-annotation
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