From the 1 of 7 linked papers with an AI index.
7 papers
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…
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…
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…
Enhancing Jailbreak Attacks on LLMs via Persona Prompts
Zheng Zhang, Peilin Zhao, Deheng Ye +1
Jailbreak attacks aim to exploit large language models (LLMs) by inducing them to generate harmful content, thereby revealing their vulnerabilities. Understanding and addressing th…
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…
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…