Testing and Understanding Erroneous Planning in LLM Agents through
Synthesized User Inputs

Testing and Understanding Erroneous Planning in LLM Agents through Synthesized User Inputs

27 April 2024

Daoyuan Wu

Papers citing "Testing and Understanding Erroneous Planning in LLM Agents through Synthesized User Inputs"

7 / 7 papers shown

Title
Teaching AI to Handle Exceptions: Supervised Fine-Tuning with Human-Aligned Judgment Matthew DosSantos DiSorbo Harang Ju Sinan Aral ELM LRM 53 0 0 04 Mar 2025
Multi-Agent Collaboration Mechanisms: A Survey of LLMs Khanh-Tung Tran Dung Dao Minh-Duong Nguyen Quoc-Viet Pham Barry O’Sullivan Hoang D. Nguyen LLMAG 80 22 0 10 Jan 2025
AI Agents Under Threat: A Survey of Key Security Challenges and Future Pathways Zehang Deng Yongjian Guo Changzhou Han Wanlun Ma Junwu Xiong Sheng Wen Yang Xiang 29 19 0 04 Jun 2024
InjecAgent: Benchmarking Indirect Prompt Injections in Tool-Integrated Large Language Model Agents Qiusi Zhan Zhixiang Liang Zifan Ying Daniel Kang LLMAG 42 35 0 05 Mar 2024
LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning Yuqiang Sun Daoyuan Wu Yue Xue Han Liu Wei Ma Lyuye Zhang Miaolei Shi Yingjiu Li ELM 76 46 0 29 Jan 2024
Symbol-LLM: Leverage Language Models for Symbolic System in Visual Human Activity Reasoning Xiaoqian Wu Yong-Lu Li Jianhua Sun Cewu Lu 34 5 0 29 Nov 2023
ReAct: Synergizing Reasoning and Acting in Language Models Shunyu Yao Jeffrey Zhao Dian Yu Nan Du Izhak Shafran Karthik Narasimhan Yuan Cao LLMAG ReLM LRM 208 2,413 0 06 Oct 2022