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Sihong Wu

ACL 2026×3强化学习与后训练多模态对齐与偏好社会与人本智能体与工具
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一作贡献60
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方向广度10
合作网络12
2 一作 · 3 篇 · ACL 2026

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2026 顶会论文

3
一作ACL 2026Poster· Natural Language Processing

Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the Future

Sihong Wu · Owen Jiang · Yilun Zhao · Tiansheng Hu · Yiling Ma · Kaiyan Zhang · Manasi Patwardhan · Arman Cohan

摘要

Peer review is a multi-stage process involving reviews, rebuttals, meta-reviews, final decisions, and subsequent manuscript revisions. Recent advances in large language models (LLMs) have motivated methods that assist or automate different stages of this pipeline. In this survey, we synthesize te...

强化学习与后训练社会与人本智能体与工具OpenReview 项目页
作者位次 #2/9ACL 2026Poster· Natural Language Processing

A Survey of Multimodal Mathematical Reasoning: From Perception, Alignment to Reasoning

Tianyu Yang · Sihong Wu · Yilun Zhao · Zhenwen Liang · Lisen Dai · Chen Zhao · Minhao Cheng · Arman Cohan · Xiangliang Zhang

摘要

Multimodal Mathematical Reasoning (MMR) has recently attracted increasing attention for its capability to solve mathematical problems involving both textual and visual modalities. However, current models still face significant challenges in real-world visual math tasks, often misinterpreting diag...

推理多模态对齐与偏好OpenReview 项目页
一作ACL 2026Findings· Findings of ACL

R bt A ct: Rebuttal as Supervision for Actionable Review Feedback Generation

Sihong Wu · Yiling Ma · Yilun Zhao · Tiansheng Hu · Owen Jiang · Manasi Patwardhan · Arman Cohan

摘要

Large language models (LLMs) are increasingly used across the scientific workflow, including to draft peer-review reports. However, many AI-generated reviews are superficial and insufficiently actionable, leaving authors without concrete, implementable guidance and motivating the gap this work ad...

对齐与偏好多模态强化学习与后训练OpenReview 项目页

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