{"total":15,"rows":[{"id":"2410.06703","title":"ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents","created":"2024-10-09","cited_by_count":133,"area":"agents"},{"id":"2509.18970","title":"LLM-based Agents Suffer from Hallucinations: A Survey of Taxonomy, Methods, and Directions","created":"2025-09-23","cited_by_count":50,"area":"agents"},{"id":"2506.13977","title":"CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios","created":"2025-06-11","cited_by_count":19,"area":"agents"},{"id":"2410.06617","title":"Learning Evolving Tools for Large Language Models","created":"2024-10-09","cited_by_count":16,"area":"agents"},{"id":"2508.07935","title":"SHIELDA: Structured Handling of Exceptions in LLM-Driven Agentic Workflows","created":"2025-08-11","cited_by_count":13,"area":"agents"},{"id":"2509.26553","title":"Towards Reliable Benchmarking: A Contamination Free, Controllable Evaluation Framework for Multi-step LLM Function Calling","created":"2025-09-30","cited_by_count":13,"area":"agents"},{"id":"2503.14227","title":"Benchmarking Failures in Tool-Augmented Language Models","created":"2025-03-18","cited_by_count":9,"area":"agents"},{"id":"2508.11027","title":"Hell or High Water: Evaluating Agentic Recovery from External Failures","created":"2025-08-14","cited_by_count":9,"area":"agents"},{"id":"2508.20931","title":"How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on $\\tau$-bench","created":"2025-08-28","cited_by_count":3,"area":"agents"},{"id":"2607.26313","title":"SARC-DQ: Runtime Data-Quality Gating for Agentic AI: Silent Evidence Defects, the Incompetence Shield, and Downstream-Only Remediation","created":"2026-07-28","cited_by_count":3,"area":"agents"},{"id":"2603.02345","title":"RIVA: Leveraging LLM Agents for Reliable Configuration Drift Detection","created":"2026-03-02","cited_by_count":2,"area":"agents"},{"id":"2601.20439","title":"PEARL: Plan Exploration and Adaptive Reinforcement Learning for Multihop Tool Use","created":"2026-01-28","cited_by_count":1,"area":"agents"},{"id":"2602.02760","title":"From Task Solving to Robust Real-World Adaptation in LLM Agents","created":"2026-02-02","cited_by_count":1,"area":"agents"},{"id":"2510.17874","title":"Repairing Tool Calls Using Post-tool Execution Reflection and RAG","created":"2025-10-17","cited_by_count":0,"area":"agents"},{"id":"2610.16117","title":"Beyond Perfect Teammates: Multi-Agent Collaboration with Unreliable Colleagues","created":"2026-10-12","cited_by_count":0,"area":"agents"}],"next_cursor":null}