From the 1 of 6 linked papers with an AI index.
6 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…
Rongzai agent: A Large Language Model-Based Autonomous Assistant for Rietveld Refinement of Neutron Diffraction Data
Qingmeng Li, Hao Wang, Dongbo Xiong +11
Neutron diffraction (ND) is an indispensable technique for determining atomic positions (especially light elements) and thus serves as a critical probe for revealing microscopic st…
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…
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…
An Empirical Study on Prompt Compression for Large Language Models
Zheng Zhang, Jinyi Li, Yihuai Lan +2
Prompt engineering enables Large Language Models (LLMs) to perform a variety of tasks. However, lengthy prompts significantly increase computational complexity and economic costs.…