Papers by Jianwen Chen

2 papers
InMind: Evaluating LLMs in Capturing and Applying Individual Human Reasoning Styles (2025.emnlp-main)

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Challenge: Recent large language models (LLMs) have demonstrated strong reasoning abilities across complex mathematical and scientific domains.
Approach: They propose a framework to assess whether LLMs can capture and apply personalized reasoning styles in social deduction games.
Outcome: The proposed framework evaluates LLMs on the game Avalon and shows that they can capture and apply individualized reasoning styles.
MedVerse: Efficient and Reliable Medical Reasoning via DAG-Structured Parallel Execution (2026.acl-long)

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Challenge: Recent advances in large reasoning models have broadened the capabilities of medical artificial intelligence.
Approach: They propose a reasoning framework for complex medical inference that reformulates medical reasoning as a parallelizable directed acyclic graph process based on Petri Net theory.
Outcome: The proposed reasoning framework improves strong general-purpose LLMs by up to 8.9%.

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