Papers by Chenfei Yuan

2 papers
Literature Meets Data: A Synergistic Approach to Hypothesis Generation (2025.acl-long)

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Challenge: Existing methods for hypothesis generation are theory-driven and data-driven, but they lack the computational power to complement each other.
Approach: They develop a method that combines literature-based insights with data to perform LLM-powered hypothesis generation.
Outcome: The proposed method outperforms baseline methods on five datasets and shows human accuracy improves on deception detection and AI generated content detection tasks.
Beyond Natural Language: LLMs Leveraging Alternative Formats for Enhanced Reasoning and Communication (2024.findings-emnlp)

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Challenge: Natural language (NL) has long been the predominant format for human cognition and communication, but its utility in LLMs has not been thoroughly examined.
Approach: They propose to allow LLMs to choose the most suitable format before reasoning or communicating, and to automate the selection process.
Outcome: The proposed format improves reasoning efficiency and reduces token usage while maintaining communicative effectiveness.

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