Papers by Yuanfei Wang

2 papers
Communication-Efficient Desire Alignment for Proactive Embodied Human–Agent Interaction (2026.acl-long)

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Challenge: Effective real-world human–agent interactions are long-term and repeated.
Approach: They propose a simulation that uses a proxy user with value-driven preferences and natural language behavior to evaluate how agents adapt to users across interactions and satisfy their desires.
Outcome: HA-Desire, a home assistance simulation, shows that agents can adapt to user needs and provide proactive assistance within limited communication.
MedFact: A Large-scale Chinese Dataset for Evidence-based Medical Fact-checking of LLM Responses (2025.emnlp-main)

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Challenge: Existing medical fact-checking datasets focus on human-generated content, leaving the verification of content generated by large language models (LLMs) relatively unexplored.
Approach: They propose to use Chinese medical fact-checking datasets to verify LLM-generated medical content by combining in-context learning and fine-tuning.
Outcome: The first evidence-based Chinese medical fact-checking dataset of LLM-generated medical content consists of 1,321 questions and 7,409 claims .

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