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Weizhu Chen

ACL 2026×2ICLR 2026×2强化学习与后训练效率与系统推理多模态评测与基准
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0 一作 · 4 篇 · ACL 2026 / ICLR 2026

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2026 顶会论文

4
作者位次 #9/10ACL 2026Poster· Natural Language Processing

Gold-Medal-Level Olympiad Geometry Solving with Efficient Heuristic Auxiliary Constructions

Boyan Duan · Xiao Liang · Shuai Lu · Yaoxiang Wang · yelong shen · Kai-Wei Chang · Ying Nian Wu · Mao Yang · Weizhu Chen · Yeyun Gong

摘要

Automated theorem proving in Euclidean geometry, particularly for International Mathematical Olympiad (IMO) level problems, remains a major challenge and an important research focus in Artificial Intelligence. In this paper, we present a highly efficient method for geometry theorem proving that r...

效率与系统评测与基准推理OpenReview 项目页
作者位次 #10/10ACL 2026Poster· Natural Language Processing

Training LLM s for Divide-and-Conquer Reasoning Elevates Test-Time Scalability

Xiao Liang · Zhong-Zhi Li · Zhenghao Lin · Eric Hanchen Jiang · Hengyuan Zhang · yelong shen · Kai-Wei Chang · Ying Nian Wu · Yeyun Gong · Weizhu Chen

摘要

Large language models (LLMs) have demonstrated strong reasoning capabilities through step-by-step chain-of-thought (CoT) reasoning. Nevertheless, at the limits of model capability, CoT often proves insufficient, and its strictly sequential nature constrains test-time scalability. A potential alte...

推理强化学习与后训练对齐与偏好OpenReview 项目页

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