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Haonan Dong

ACL 2026×2ICML 2026评测与基准推理智能体与工具可解释性效率与系统
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1 一作 · 3 篇 · ACL 2026 / ICML 2026

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2026 顶会论文

3
一作ACL 2026Poster· Natural Language Processing

N eu R easoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-Neurons

Haonan Dong · Kehan Jiang · Haoran Ye · Wenhao Zhu · Zhaolu Kang · Guojie Song

摘要

Large Reasoning Models (LRMs) have recently achieved remarkable success in complex reasoning tasks. However, closer scrutiny reveals persistent failure modes compromising performance and cost: I) Intra-step level, marked by calculation or derivation errors; II) Inter-step level, involving oscilla...

可解释性评测与基准推理OpenReview 项目页
作者位次 #2/5ACL 2026Poster· Natural Language Processing

F o E : Forest of Errors Makes the First Solution the Best in Large Reasoning Models

Kehan Jiang · Haonan Dong · Zhaolu Kang · Zhengzhou Zhu · Guojie Song

摘要

Recent Large Reasoning Models (LRMs) like DeepSeek-R1 have demonstrated remarkable success in complex reasoning tasks, exhibiting human-like patterns in exploring multiple alternative solutions. Upon closer inspection, however, we uncover a surprising phenomenon: The First is The Best, where alte...

推理效率与系统评测与基准OpenReview 项目页

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