I am currently a fourth-year PhD student in the Department of Electronic Engineering at Tsinghua University, supervised by Professor Wu Ji. I also received my Bachelor degree from the Department of Electronic Engineering at Tsinghua University.

I am actively seeking for job opportunities!🔥🔥

My research interest includes evaluation and knowledge injection for large language models. I have published 5 papers at the top international AI conferences with total google scholar citations .

🔥 News

• 2025.09: Our paper Investigating and Mitigating Catastrophic Forgetting in Medical Knowledge Injection through Internal Knowledge Augmentation Learning. has been accepted by The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS-25). Codes will be made publicly available soon!
• 2025.05: Our paper Evaluating LLMs Across Multi-Cognitive Levels: From Medical Knowledge Mastery to Scenario-Based Problem Solving has been accepted by Forty-Second International Conference on Machine Learning (ICML-25). Codes and Datasets are available here.
• 2025.01: Our paper Reliable and diverse evaluation of LLM medical knowledge mastery has been accepted by The Thirteenth International Conference on Learning Representations (ICLR-25). Codes and Datasets are available here.

📝 Publications

• THiFly_Queens at SemEval-2021 Task 9: Two-stage Statement Verification with Adaptive Ensembling and Slot-based Operation, Yuxuan Zhou, Kaiyin Zhou, Xien Liu, Ji Wu, Xiaodan Zhu, SemEval 2021.
• Table-based fact verification with self-adaptive mixture of experts, Yuxuan Zhou, Xien Liu, Kaiyin Zhou, Ji Wu, Findings of ACL 2022.
• THiFLY Research at SemEval-2023 Task 7: A Multi-granularity System for CTR-based Textual Entailment and Evidence Retrieval, Yuxuan Zhou, Ziyu Jin, Meiwei Li, Miao Li, Xien Liu, Xinxin You, Ji Wu, SemEval 2023.
• MultifacetEval: Multifaceted Evaluation to Probe LLMs in Mastering Medical Knowledge, Yuxuan Zhou, Xien Liu, Chen Ning, Ji Wu, IJCAI 2024 (12 Min Oral).
• Reliable and diverse evaluation of LLM medical knowledge mastery, Yuxuan Zhou, Xien Liu, Chen Ning, Ji Wu, ICLR 2025.
• Evaluating LLMs Across Multi-Cognitive Levels: From Medical Knowledge Mastery to Scenario-Based Problem Solving, Yuxuan Zhou, Xien Liu, Chenwei Yan, Chen Ning, Xiao Zhang, Boxun Li, Xiangling Fu, Shijin Wang, Guoping Hu, Yu Wang, Ji Wu, ICML 2025.
• Investigating and Mitigating Catastrophic Forgetting in Medical Knowledge Injection through Internal Knowledge Augmentation Learning. Yuxuan Zhou, Xien Liu, Xiao Zhang, Chen Ning, Shijin Wang, Guoping Hu, Ji Wu. Accepted by NeurIPS 2025.

🏆 Academic Competitions

• 1st place on the Task 7 (Multi-evidence Natural Language Inference for Clinical Trial Data) of 17th International Workshop on Semantic Evaluation (SemEval 2023)
• 2nd place on the Task 9 (Fact Verification and Evidence Finding for Tabular Data in Scientific Documents) of 15th International Workshop on Semantic Evaluation (SemEval 2021)

🎖 Honors and Awards

• 2022-2023 Tsinghua Alumni - Pinghu Talents Scholarship (Second Class).
• 2023-2024 Tsinghua Alumni - Quanzhou Talents Scholarship (Second Class).
• 2024-2025 Tsinghua Alumni - Jining Talents Scholarship (Second Class).

📖 Educations

• 2021.08 - Present, PhD Student, Department of Electronic Engineering, Tsinghua University (GPA: 3.99/4.00).
• 2017.08 - 2021.07, Undergraduate Student, Department of Electronic Engineering, Tsinghua University (GPA: 3.85/4.00).

💬 Invited Talks

• 2024.12 I gave a talk about MultifacetEval on the NLP Academic Exchange Platform. You can find replay here

💻 Internships

• 2022.05 - 2025.05, iFlyTek, Beijing, China.
• 2025.06 - Present, Decision-making and Reasoning Laboratory, Noah’s Ark Laboratory, Huawei, Beijing, China.