WebUncertainty: Dual-Level Uncertainty Driven Planning and Reasoning For Autonomous Web Agent

ArXi:2604.17821v2 Announce Type: new Recent advancements in large language models (LLMs) have empowered autonomous web agents to execute natural language instructions directly on real-world webpages. However, existing agents often struggle with complex tasks involving dynamic interactions and long-horizon execution due to rigid planning strategies and hallucination-prone reasoning. To address these limitations, we propose WebUncertainty, a novel autonomous agent framework designed to tackle dual-level uncertainty in planning and reasoning.