8 papers
Adversarial Closed-Loop Curriculum for Evolving Role-Playing Agents
Zheng Zhang, Liu Liu, Qi Chai +4
Role-playing agents based on large language models have been widely applied in areas such as personalized assistance and social simulation. Recent RL methods typically train on a f…
CaM-Wolf: Causal-Aware Multimodal Agents for Social Deduction Games
Zheng Zhang, Nanjie Yao, Jiarui He +3
Social deduction games (SDGs) such as Werewolf have become challenging testbeds for AI agents. These games require complex social skills such as reasoning, deception, and collabora…
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…
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…
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…
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…
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…
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…