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Yunhua Zhou

ACL 2026×2CVPR 2026ICLR 2026数据与预训练推理可解释性社会与人本多模态
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1 一作 · 4 篇 · ACL 2026 / CVPR 2026 / ICLR 2026

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2026 顶会论文

4
作者位次 #11/16ACL 2026Poster· Natural Language Processing

Which Reasoning Trajectories Teach Students to Reason Better? A Simple Metric of Informative Alignment

Yuming Yang · Mingyoung Lai · Wanxu Zhao · Xiaoran Fan · Zhiheng Xi · Mingqi Wu · Chiyue Huang · Jun Zhao · Haijun Lv · Jian Tong · Yunhua Zhou · Yicheng Zou · Qipeng Guo · Tao Gui · Qi Zhang · Xuanjing Huang

摘要

Long chain-of-thought (CoT) trajectories provide rich supervision signals for distilling reasoning from teacher to student LLMs. However, both prior work and our experiments show that trajectories from stronger teachers do not necessarily yield better students, highlighting the importance of data...

推理强化学习与后训练对齐与偏好OpenReview 项目页
一作ACL 2026Findings· Findings of ACL

How to Set the Learning Rate for Large-Scale Pre-training?

Yunhua Zhou · Shuhao Xing · Junhao Huang · Xipeng Qiu · Qipeng Guo

摘要

Optimal configuration of the learning rate (LR) is a fundamental yet formidable challenge in large-scale pre-training. Given the stringent trade-off between training costs and model performance, the pivotal question is whether the optimal LR can be accurately extrapolated from low-cost experiment...

推理效率与系统数据与预训练OpenReview 项目页

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