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From the 1 of 7 linked papers with an AI index.

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cs.AI2026

CaM-Wolf: Causal-Aware Multimodal Agents for Social Deduction Games

Zheng Zhang, Nanjie Yao, Jiarui He +3

The paper presents CaM-Wolf, a multimodal AI agent for social deduction games that processes video of other players, uses a causal-aware reasoner trained with reinforcement learnin…

cs.AI2026

The Stackelberg Speaker: Optimizing Persuasive Communication in Social Deduction Games

Zhang Zheng, Deheng Ye, Peilin Zhao +1

Large language model (LLM) agents have shown remarkable progress in social deduction games (SDGs). However, existing approaches primarily focus on information processing and strate…

cs.AI2026

Genesis: Evolving Attack Strategies for LLM Web Agent Red-Teaming

Zheng Zhang, Jiarui He, Yuchen Cai +4

As large language model (LLM) agents increasingly automate complex web tasks, they boost productivity while simultaneously introducing new security risks. However, relevant studies…

cs.AI2026

VistaWise: Building Cost-Effective Agent with Cross-Modal Knowledge Graph for Minecraft

Honghao Fu, Junlong Ren, Qi Chai +3

Large language models (LLMs) have shown significant promise in embodied decision-making tasks within virtual open-world environments. Nonetheless, their performance is hindered by…

cs.AI2025

MultiMind: Enhancing Werewolf Agents with Multimodal Reasoning and Theory of Mind

Zheng Zhang, Nuoqian Xiao, Qi Chai +2

Large Language Model (LLM) agents have demonstrated impressive capabilities in social deduction games (SDGs) like Werewolf, where strategic reasoning and social deception are essen…

cs.AI2025

CausalMACE: Causality Empowered Multi-Agents in Minecraft Cooperative Tasks

Qi Chai, Zhang Zheng, Junlong Ren +3

Minecraft, as an open-world virtual interactive environment, has become a prominent platform for research on agent decision-making and execution. Existing works primarily adopt a s…