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Tongliang Liu

NeurIPS 2026×9多模态智能体与工具推理可解释性对齐与偏好
新星分资深
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核心/参与15
方向广度10
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0 一作 · 9 篇 · NeurIPS 2026

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2026 顶会论文

9
作者位次 #4/5NeurIPS 2026Poster· Applications / Language, Speech and Dialog

Rethinking How to Remember: Beyond Atomic Facts in Lifelong LLM Agent Memory

Jingwei Sun · Jianing Zhu · Jiangchao Yao · Tongliang Liu · Bo Han

检索与知识智能体与工具多模态OpenReview
作者位次 #2/2NeurIPS 2026Poster· General Machine Learning / Causality

Causal Effect Identification with a Single Agnostic Proxy

Xiu-Chuan Li · Tongliang Liu

作者位次 #6/6NeurIPS 2026Poster· Applications / Chemistry and Drug Discovery

Adaptive Multi-Frame Learning for Expressive and Stable Atomic Representations

Jun Wang · Yifan Zeng · Bo Han · Fengwang Li · Aoni Xu · Tongliang Liu

可解释性理论与学习动力学OpenReview
作者位次 #4/7NeurIPS 2026Poster· Social Aspects / Accountability, Transparency and Interpretability

Taming CoT Obfuscation in VLMs: From Mechanistic Evidence to Activation-Level Enforcement

Xutao Mao · Jianing Zhu · Jinman Zhao · Tongliang Liu · Xiaowen Chu · Cong Wang (Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences) · Bo Han

可解释性推理多模态OpenReview

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