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Ke Wang

ACL 2026×2AAAI 2026ICLR 2026智能体与工具多模态强化学习与后训练可解释性推理
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0 一作 · 4 篇 · ACL 2026 / AAAI 2026 / ICLR 2026

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2026 顶会论文

4
作者位次 #4/7ACL 2026Poster· Natural Language Processing

Towards Robust Real-World Spreadsheet Understanding with Multi-Agent Multi-Format Reasoning

Houxing Ren · Mingjie Zhan · Zimu Lu · Ke Wang · Yunqiao Yang · Haotian Hou · Hongsheng Li

摘要

Spreadsheets are central to real-world applications such as enterprise reporting, auditing, and scientific data management. Despite their ubiquity, existing large language model based approaches typically treat tables as plain text, overlooking critical layout cues and visual semantics. Moreover,...

智能体与工具可解释性多模态OpenReview 项目页
作者位次 #5/14ACL 2026Poster· Natural Language Processing

M ath C anvas: Intrinsic Visual Chain-of-Thought for Multimodal Mathematical Reasoning

Weikang Shi · Aldrich Yu · Rongyao Fang · Houxing Ren · Ke Wang · Aojun Zhou · Changyao Tian · Xinyu Fu · Yuxuan Hu · Zimu Lu · Linjiang Huang · Si Liu · Rui Liu · Hongsheng Li

摘要

While Large Language Models (LLMs) have excelled in textual reasoning, they struggle with mathematical domains like geometry that intrinsically rely on visual aids. Existing approaches to Visual Chain-of-Thought (VCoT) are often limited by rigid external tools or fail to generate the high-fidelit...

多模态推理数据与预训练OpenReview 项目页

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