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Rubric Rewards from Item Response Theory

Paper recorded by Signals 4 on 2026-09-28 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-28 on arXiv · recorded by Signals 4 on 2026-09-29

Category: cs.CL · 自然语言处理 · first seen 2026-09-29

Abstract

Many language tasks have no single answer that can be checked automatically. Rubrics provide criteria for judging responses to these tasks. For reinforcement learning, the resulting verdicts must be combined into a scalar reward. A common approach sums the points assigned to satisfied criteria. Distinct verdict patterns can thus receive the same reward, and the fixed points encode how much each cr

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#7 most recent of 279 cs.CL papers we have recorded · ↑ newer: Late Attention Layers Alone Can Copy Entity Tokens, but Not Without At · ↓ older: CoSE-E: A Benchmark for Code-switched Speech Evaluation in Enterprise
Cite this page: Rubric Rewards from Item Response Theory: the #7 most recent of 279 cs.CL papers we have recorded (as of 2026-09-28). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/rubric-rewards-from-item-response-theory.html
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