Why Do LLM-based Web Agents Fail? A Hierarchical Planning Perspective
📰 ArXiv cs.AI
Learn why LLM-based web agents fail and how to evaluate them using a hierarchical planning framework
Action Steps
- Analyze web agent failures using a hierarchical planning framework
- Evaluate high-level planning in LLM-based web agents
- Assess low-level execution in web agents
- Implement replanning mechanisms to handle failures
- Apply process-based evaluation to identify areas for improvement
Who Needs to Know This
AI engineers and researchers can benefit from understanding the limitations of LLM-based web agents and how to improve their reliability using hierarchical planning
Key Insight
💡 Hierarchical planning can help identify and address failures in LLM-based web agents
Share This
🤖 LLM-based web agents fail due to limitations in planning and execution. Use hierarchical planning to evaluate and improve!
Key Takeaways
Learn why LLM-based web agents fail and how to evaluate them using a hierarchical planning framework
Full Article
Title: Why Do LLM-based Web Agents Fail? A Hierarchical Planning Perspective
Abstract:
arXiv:2603.14248v2 Announce Type: replace Abstract: Large language model (LLM) web agents are increasingly used for web navigation but remain far from human reliability on realistic, long-horizon tasks. Existing evaluations focus primarily on end-to-end success, offering limited insight into where failures arise. We propose a hierarchical planning framework to analyze web agents across three layers (i.e., high-level planning, low-level execution, and replanning), enabling process-based evaluatio
Abstract:
arXiv:2603.14248v2 Announce Type: replace Abstract: Large language model (LLM) web agents are increasingly used for web navigation but remain far from human reliability on realistic, long-horizon tasks. Existing evaluations focus primarily on end-to-end success, offering limited insight into where failures arise. We propose a hierarchical planning framework to analyze web agents across three layers (i.e., high-level planning, low-level execution, and replanning), enabling process-based evaluatio
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