Papers with structured Planning Domain Definition Language

1 papers
Why Do LLM-based Web Agents Fail? A Hierarchical Planning Perspective (2026.acl-long)

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Challenge: Existing evaluations focus primarily on end-to-end success, offering limited insight into where failures arise.
Approach: They propose a hierarchical planning framework that analyzes web agents across three layers . they show that structured Planning Domain Definition Language (PDDL) plans produce more concise and goal-directed strategies than natural language (NL) plans .
Outcome: The proposed framework analyzes web agents across three layers to improve reasoning, grounding, and recovery.

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