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Hao Wang

ACL 2026×2AAAI 2026CVPR 2026ICLR 2026KDD 2026推理强化学习与后训练社会与人本智能体与工具多模态
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0 一作 · 6 篇 · ACL 2026 / AAAI 2026 / CVPR 2026 / ICLR 2026 / KDD 2026

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2026 顶会论文

6
作者位次 #4/4ACL 2026Poster· Natural Language Processing

The Stackelberg Speaker: Optimizing Persuasive Communication in Social Deduction Games

Zhang Zheng · Deheng Ye · Peilin Zhao · Hao Wang

摘要

Large language model (LLM) agents have shown remarkable progress in social deduction games (SDGs). However, existing approaches primarily focus on information processing and strategy selection, overlooking the significance of persuasive communication in influencing other players’ beliefs and resp...

社会与人本智能体与工具对齐与偏好OpenReview 项目页
作者位次 #3/3ACL 2026Findings· Findings of ACL

C o GR - M o E : Concept-Guided Expert Routing with Consistent Selection and Flexible Reasoning for Visual Question Answering

Xiyin Zeng · Yi Lu · Hao Wang

摘要

Visual Question Answering (VQA) requires models to identify the correct answer options based on both visual and textual evidence. Recent Mixture-of-Experts (MoE) methods improve option reasoning by grouping similar concepts or routing based on examples. However, unstable routing can lead to incon...

效率与系统推理可解释性OpenReview 项目页

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