Yangfan Wu — accepted AI-conference papers

2025

Improving Efficiency of Answer Set Planning with Rough Solutions from Large Language Models for Robotic Task Planning

Xinrui Lin, Yangfan Wu, Huanyu Yang, Yuting Huang, Yu Zhang, Jianmin Ji +1

IJCAI 2025

Answer Set Programming (ASP) planning can be used to refine the rough solutions generated by Large Language Models (LLMs) to handle specific restrictions of actions, i.e., reconstruct the rough solutions to be executable, for robotic task planning. However, it is still challenging to efficiently sol

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2024

Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts

Sukwon Yun, Inyoung Choi, Jie Peng, Yangfan Wu, Jingxuan Bao, Qiyiwen Zhang +3

NeurIPS 2024spotlight

Multimodal learning has gained increasing importance across various fields, offering the ability to integrate data from diverse sources such as images, text, and personalized records, which are frequently observed in medical domains. However, in scenarios where some modalities are missing, many exis…

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