Papers by Chengzhang Yu

1 papers
FRAME: Feedback-Refined Agent Methodology for Enhancing Medical Research Insights (2025.findings-acl)

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Challenge: Existing approaches to automate scientific research are limited by human cognitive constraints and timeintensive workflows.
Approach: They propose a framework that enhances medical paper generation through iterative refinement and structured feedback.
Outcome: The proposed framework achieves significant improvements over conventional methods across multiple models and evaluation dimensions.

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