Papers
Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents
Wenkai Yang, Xiaohan Bi, Yankai Lin et al.
Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents
Yuxi Wei, Zi Wang, Yifan Lu et al.
Can Graph Learning Improve Planning in LLM-based Agents?
Xixi Wu, Yifei Shen, Caihua Shan et al.
Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacy
Zhenyu Guan, Xiangyu Kong, Fangwei Zhong et al.
OPEx: A Component-Wise Analysis of LLM-Centric Agents in Embodied Instruction Following
Haochen Shi, Zhiyuan Sun, Xingdi Yuan et al.
An Evaluation Mechanism of LLM-based Agents on Manipulating APIs
Bing Liu, Zhou Jianxiang, Dan Meng et al.
TrustAgent: Towards Safe and Trustworthy LLM-based Agents
Wenyue Hua, Xianjun Yang, Mingyu Jin et al.
FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents
Ruixuan Xiao, Wentao Ma, Ke Wang et al.
Beyond Demographics: Aligning Role-playing LLM-based Agents Using Human Belief Networks
Yun-Shiuan Chuang, Krirk Nirunwiroj, Zach Studdiford et al.
Simulating Opinion Dynamics with Networks of LLM-based Agents
Yun-Shiuan Chuang, Agam Goyal, Nikunj Harlalka et al.
Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents
Shihan Deng, Weikai Xu, Hongda Sun et al.
Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds
Sipeng Zheng, jiazheng liu, Yicheng Feng et al.
Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning
Hang Zhou, Yehui Tang, Haochen Qin et al.
Enhancing Dialogue State Tracking Models through LLM-backed User-Agents Simulation
Xingguang Wang, Xuxin Cheng, Juntong Song et al.
Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk
Dennis Ulmer, Elman Mansimov, Kaixiang Lin et al.
LLM-Based Offline Learning for Embodied Agents via Consistency-Guided Reward Ensemble
Yujeong Lee, Sangwoo Shin, Wei-Jin Park et al.
AutoManual: Constructing Instruction Manuals by LLM Agents via Interactive Environmental Learning
Minghao Chen, Yihang Li, Yanting Yang et al.
AGILE: A Novel Reinforcement Learning Framework of LLM Agents
Peiyuan Feng, Yichen He, Guanhua Huang et al.
AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning
Shirley Wu, Shiyu Zhao, Qian Huang et al.
AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents
Chang Ma, Junlei Zhang, Zhihao Zhu et al.
AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents
Edoardo Debenedetti, Jie Zhang, Mislav Balunovic et al.
Reinforcing LLM Agents via Policy Optimization with Action Decomposition
Muning Wen, Ziyu Wan, Jun Wang et al.
Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents
Giorgio Piatti, Zhijing Jin, Max Kleiman-Weiner et al.
AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases
Zhaorun Chen, Zhen Xiang, Chaowei Xiao et al.
Aligning LLM Agents by Learning Latent Preference from User Edits
Ge Gao, Alexey Taymanov, Eduardo Salinas et al.