Papers by Fernando De la Torre

    1 papers
    On the Fine-Grained Planning Abilities of VLM Web Agents (2025.findings-emnlp)

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    Challenge: Vision-Language Models (VLMs) have shown promise as web agents, yet their planning has been overlooked.
    Approach: They propose to examine VLMs’ ability to understand temporal relationships within web contexts and assess plans of actions across diverse scenarios.
    Outcome: The proposed models exhibit limited performance in the above skills and are not reliable to function as web agents.

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