Papers by Guirong Chen

2 papers
GUICourse: From General Vision Language Model to Versatile GUI Agent (2025.acl-long)

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Challenge: Graphical User Interfaces (GUIs) are a pivotal medium for human-computer interaction.
Approach: They propose a series of datasets for training visual-based GUI agents using general VLMs.
Outcome: The proposed GUICourse datasets show that even a small-sized GUI agent performs better on GUI tasks.
CURE: Critique-Driven Unified Reinforcement Learning for Test-Time Self-Improvement (2026.acl-long)

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Challenge: Existing critique-guided methods fail to equip models with the autonomous improvement capabilities required for test-time scaling.
Approach: They propose a framework that jointly optimizes a single policy for standard solving, critiquing, and guided re-exploration.
Outcome: The proposed framework maintains competitive single-turn performance and unlocks effective inference-time scaling.

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