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Jianhui Chen

ACL 2026ICML 2026可解释性强化学习与后训练理论与学习动力学
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1 一作 · 2 篇 · ACL 2026 / ICML 2026

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2026 顶会论文

2
一作ICML 2026Oral· Deep Learning / Large Language Models

Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units

Jianhui Chen · Yuzhang Luo · Liangming Pan

可解释性OpenReview
作者位次 #7/9ACL 2026Poster· Natural Language Processing

Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures

Yi Hu · Jiaqi Gu · Ruxin Wang · Zijun Yao · Hao Peng · Xiaobao Wu · Jianhui Chen · Muhan Zhang · Liangming Pan

摘要

Reinforcement learning (RL) has catalyzed the emergence of Large Reasoning Models (LRMs) that have pushed reasoning capabilities to new heights. While their performance has garnered significant excitement, exploring the internal mechanisms driving these behaviors has become an equally critical re...

可解释性强化学习与后训练理论与学习动力学OpenReview 项目页

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