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Mong-Li Lee

ICLR 2026×2AAAI 2026ACL 2026CVPR 2026SIGIR 2026推理多模态强化学习与后训练检索与知识理论与学习动力学
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0 一作 · 6 篇 · ICLR 2026 / AAAI 2026 / ACL 2026 / CVPR 2026 / SIGIR 2026

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2026 顶会论文

6
作者位次 #7/8ACL 2026Poster· Natural Language Processing

Taming Actor-Observer Asymmetry in Agents via Dialectical Alignment

Bobo Li · Rui Wu · Zibo Ji · Meishan Zhang · Hao Fei · Min Zhang · Mong-Li Lee · Wynne Hsu

摘要

Large Language Model agents have rapidly evolved from static text generators into dynamic systems capable of executing complex autonomous workflows. To enhance reliability, multi-agent frameworks assigning specialized roles are increasingly adopted to enable self-reflection and mutual auditing. W...

推理智能体与工具检索与知识OpenReview 项目页
作者位次 #4/4SIGIR 2026Oral· Information Retrieval (Full)

R3Check: Reinforcement Learning for Iterative Retrieval and Structured Reasoning in Complex Fact Checking

Peng Qi · Yuyang Zhao · Wynne Hsu · Mong-Li Lee

摘要

Automated fact-checking aims to verify the veracity of claims based on related evidence, and has become increasingly important as large language models (LLMs) make it easier to generate and disseminate misinformation at scale. In open settings, effective fact-checking requires models to iterative...

强化学习与后训练检索与知识推理OpenReview

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