Papers by Gengchen Ma

1 papers
From Answers to Arguments: Toward Trustworthy Clinical Diagnostic Reasoning with Toulmin-Guided Curriculum Goal-Conditioned Learning (2026.acl-long)

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Challenge: Large Language Models (LLMs) are obstructed by their opaque and often unreliable reasoning.
Approach: They propose a framework for trustworthy clinical argumentation by adapting the Toulmin model to the diagnostic process.
Outcome: The proposed method achieves diagnostic accuracy comparable to resource-intensive RL methods while offering a more stable and efficient training pipeline.

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