Papers by Haiwei Wang

2 papers
Don’t Act Blindly: Robust GUI Automation via Action-Effect Verification and Self-Correction (2026.acl-long)

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Challenge: Existing GUI agents assume deterministic environment responses, generating actions without verifying whether previous operations succeeded.
Approach: They propose a GUI agent that explicitly models action outcomes and recovery under noisy environments.
Outcome: The proposed agent reduces failure loops and improves recovery success in noisy environments while maintaining competitive standard task performance.
Graph-Based Chain-of-Thought Pruning for Reducing Redundant Reflections in Reasoning LLMs (2026.findings-acl)

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Challenge: Extending CoT through RL can induce undesirable thinking patterns such as overthinking . prior work has focused on inefficient reflection, which manifests in two problematic patterns: Indiscriminate Reflection and Repetitive Reflectione .
Approach: They propose a graph-based approach to optimize CoT by pruning each linear CoT into a directed acyclic graph with explicit dependency edges.
Outcome: The proposed approach reduces the average reasoning tokens by 42% while maintaining or improving accuracy.

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