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Wei Chu

ACL 2026×2ICLR 2026强化学习与后训练推理对齐与偏好多模态评测与基准
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0 一作 · 3 篇 · ACL 2026 / ICLR 2026

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2026 顶会论文

3
作者位次 #5/6ACL 2026Poster· Natural Language Processing

Harnessing Negative Signals: Reinforcement Distillation from Teacher Data for LLM Reasoning

Shuyao Xu · Cheng Peng · Jiangxuan Long · Weidi Xu · Wei Chu · Yuan Qi

摘要

Recent advances in model distillation show that data from advanced reasoning models can effectively train smaller student models. However, standard practices discard incorrect reasoning traces—valuable, yet underutilized data. This paper addresses the critical question: How can both positive and...

强化学习与后训练推理对齐与偏好OpenReview 项目页
作者位次 #10/11ACL 2026Findings· Findings of ACL

Infinity-Parser: Layout-Aware Reinforcement Learning with High-quality Document Parsing Dataset

Baode Wang · Biao Wu · Weizhen Li · Meng Fang · Zuming Huang · Jun Huang · Yanjie Liang · Haozhe WANG · Ling Chen · Wei Chu · Yuan Qi

摘要

Document parsing from scanned images into structured formats remains a significant challenge due to its complexly intertwined elements such as text paragraphs, figures, formulas, and tables. Existing supervised fine-tuning methods often struggle to generalize across diverse document types, leadin...

多模态强化学习与后训练评测与基准OpenReview 项目页

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