作者位次 #4/5ICML 2026Poster· Social Aspects / Fairness
A Game-Theoretic Framework for Measuring and Explaining Metric Compatibility in Fair Machine Learning
Lingfeng Zhang · Jingran Yang · Zhaohui Wang · Min Zhang · Qing Zhang
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Lingfeng Zhang · Jingran Yang · Zhaohui Wang · Min Zhang · Qing Zhang
Tao Wu · Jingyuan Chen · Wang Lin · Jian Zhan · Mengze Li · Fangzhou Jin · Min Zhang · Kun Kuang · Fei Wu
Distractors—incorrect yet plausible answer choices in multiple-choice questions (MCQs)—are vital in educational assessments, as they help identify student misconceptions by presenting potential reasoning errors. Current distractor generation methods typically produce shared distractors for all st...
Benteng Chen · Weida Wang · Shufei Zhang · Mingbao Lin · Min Zhang
Large reasoning models that use long chain-of-thought excel at problem-solving yet waste compute on redundant checks. Curbing this overthinking is hard: training-time length penalties can cripple ability, while inference-time early-exit adds system overhead. To bridge this gap, we propose Step-GR...
Fan Liu · Yanhao Wang · Min Zhang · Zhikang Chen · Zeyuan Li · Lewei He · Jiahui Pan
This paper proposes shortcut decoding, an efficient framework for accelerating Chain-of-Thought (CoT) reasoning in Large Language Models (LLMs). Existing methods that prune or employ early stopping to reduce latency often compromise reasoning reliability. Motivated by the observation that LLMs fr...