Papers by Yu-An Su
Compete to Complete: Co-opetition Adversarial Learning for Retrieval-Augmented Generation (2026.acl-long)
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| Challenge: | Existing approaches to reduce hallucination in large language models lack a robust mechanism for generating a generative model. |
| Approach: | They propose a framework that formulates retriever–generator training in RAG as a minimax game. |
| Outcome: | The proposed framework improves retrieval-augmented generation performance on seven benchmark datasets. |
CoachMe: Decoding Sport Elements with a Reference-Based Coaching Instruction Generation Model (2025.acl-long)
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Wei-Hsin Yeh, Yu-An Su, Chih-Ning Chen, Yi-Hsueh Lin, Calvin Ku, Wenhsin Chiu, Min-Chun Hu, Lun-Wei Ku
| Challenge: | Existing multimodal models for motion related tasks have shown significant progress. |
| Approach: | They propose a reference-based model that analyzes the differences between a learner’s motion and a physical reference under temporal and physical aspects. |
| Outcome: | The proposed model outperforms GPT-4o on figure skating and boxing by 31.6% and 58.3% respectively. |