I’m currently a Ph.D. student at the School of Integrated Circuits (School of Information Science and Electronic Engineering), Shanghai Jiao Tong University, under the supervision of Assoc. Prof. Yu Wang (王钰). I received my B.E. in Information Engineering from the School of Electronic Information and Electrical Engineering, also at Shanghai Jiao Tong University.

🔬 I’m passionate about combining AI with real-world applications, especially in medical and clinical domains. My research focuses on:

• Large Language Models

• Kowledge Argumentation

• Clinical Natural Language Processing

📚 You can find my publications on Google Scholar.

🔥 News

• 2025.06:  🎉🎉 One of our ACL 2025 paper has been selected as Oral!
• 2025.05:  🎉🎉 Three papers accepted by ACL 2025 Main Conference!

📝 Publications

• ReflecTool: Towards Reflection-Aware Tool-Augmented Clinical Agents, Yusheng Liao, S Jiang, Y Wang, Y Wang, ACL 2025 (Oral)
• EvolveBench: A Comprehensive Benchmark for Assessing Temporal Awareness in LLMs on Evolving Knowledge, Z Zhu^*, Yusheng Liao^*, Z Chen, Y Wang, Y Guan, Y Wang, Y Wang, ACL 2025
• Towards Omni-RAG: Comprehensive Retrieval-Augmented Generation for Large Language Models in Medical Applications, Z Chen, Yusheng Liao, S Jiang, P Wang, Y Guo, Y Wang, Y Wang, ACL 2025
• Fine-tuning with Reserved Majority for Noise Reduction, S Jiang, Yusheng Liao, Y Zhang, Y Wang, Y Wang, ICLR 2025 (Spotlight)
• MedCare: Advancing Medical LLMs through Decoupling Clinical Alignment and Knowledge Aggregation, Yusheng Liao^*, S Jiang^*, Y Wang, Y Wang, Findings of EMNLP 2024
• RA2FD: Distilling Faithfulness into Efficient Dialogue Systems, Z Zhu, Yusheng Liao, C Xu, Y Guan, Y Wang, Y Wang, EMNLP 2024
• TAIA: Large Language Models are Out-of-Distribution Data Learners, S Jiang*, Yusheng Liao^*, Y Zhang, Y Wang, Y Wang, NeurIPS 2024
• MM-SAP: A Comprehensive Benchmark for Assessing Self-Awareness of Multimodal Large Language Models in Perception, Y Wang, Yusheng Liao, H Liu, H Liu, Y Wang, Y Wang, ACL 2024
• Leveraging Diverse Modeling Contexts with Collaborating Learning for Neural Machine Translation, Yusheng Liao, Y Wang, Y Wang, IEEE/ACM TASLP 2024
• Self-improvement of non-autoregressive model via sequence-level distillation, Yusheng Liao, S Jiang, Y Li, Y Wang, Y Wang, EMNLP 2023
• Contrastive Learning Based ASR Robust Knowledge Selection For Spoken Dialogue System, Z Zhu, Yusheng Liao, Y Wang, Y Guan, Interspeech 2023

🎖 Honors and Awards

• 2023.10 Champion of the 11th International Dialog System Technology Challenge (DSTC 11) Track 5. [Report]

📖 Educations

• 2023.03 - present, Ph.D. Student, School of Integrated Circuits(School of Information Science and Electronic Engineering), Shanghai Jiao Tong University, Shanghai.
• 2021.09 - 2023.03, Master’s students, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai.
• 2017.09 - 2021.06, Undergraduate, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai.

💻 Internships

• 2024.04 - present, Shanghai Artificial Intelligence Laboratory
• 2025.04 - present, Ant Group, Shanghai