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Hao Lang

ACL 2026×2AAAI 2026理论与学习动力学多模态强化学习与后训练智能体与工具评测与基准
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一作贡献30
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合作网络9
1 一作 · 3 篇 · ACL 2026 / AAAI 2026

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2026 顶会论文

3
作者位次 #2/4ACL 2026Poster· Natural Language Processing

Controlling Multimodal Conversational Agents with Coverage-Enhanced Latent Actions

Yongqi Li · Hao Lang · Tieyun Qian · Yongbin Li

摘要

Vision-language models are increasingly employed as multimodal conversational agents (MCAs) for diverse conversational tasks. Recently, reinforcement learning (RL) has been widely explored for adapting MCAs to various human-AI interaction scenarios. Despite showing great enhancement in generaliza...

多模态强化学习与后训练智能体与工具OpenReview 项目页
作者位次 #2/5ACL 2026Findings· Findings of ACL

Understanding Generalization in Role-Playing Models via Information Theory

Yongqi Li · Hao Lang · Fei Huang · Tieyun Qian · Yongbin Li

摘要

Role-playing models (RPMs) are widely used in real-world applications but underperform when deployed in the wild. This degradation can be attributed to distribution shifts, including user, character, and dialogue compositional shifts. Existing methods like LLM-as-a-judge fall short in providing a...

评测与基准理论与学习动力学推理OpenReview 项目页
一作AAAI 2026Poster· Artificial Intelligence

Selective Weak-to-Strong Generalization

Hao Lang · Fei Huang · Yongbin Li

理论与学习动力学OpenReview

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