About me

Hi! I’m a second-year PhD student at Institute of Computing Technology, Chinese Academy of Sciences (ICT, CAS), fortunate to be advised by Prof. Fei Sun. Previously, I obtained my B.E. in Software Engineering from Nankai University. My research interests include Knowledge Editing, Knowledge Mechanism of LLMs, and Trustworthy AI.

📢 News and Events

• [09/2025] Check our new preprint: Fine-tuning Done Right in Model Editing.
• [08/2025] Invited to present the tutorial “Model Editing in LLMs: Advances and Challenges” at NLPCC 2025 (Xinjiang) with Dr. Junfeng Fang.
• [05/2025] One paper was accepted by ACL 2025.
• [09/2024] One paper was accepted by EMNLP 2024.
• [05/2024] Two papers were accepted by ACL 2024.

Preprint

• Fine-tuning Done Right in Model Editing. [Paper]
  Wanli Yang, Fei Sun, Rui Tang, Hongyu Zang, Du Su, Qi Cao, Jingang Wang, Huawei Shen, Xueqi Cheng
  

Publications

2025

• The Mirage of Model Editing: Revisiting Evaluation in the Wild. [Paper] [Code] [Website]
  Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Qi Cao, Dawei Yin, Huawei Shen, Xueqi Cheng
  ACL 2025 Main

2024

• The Fall of ROME: Understanding the Collapse of LLMs in Model Editing. [Paper] [Code] [Website]
  Wanli Yang, Fei Sun, Jiajun Tan, Xinyu Ma, Du Su, Dawei Yin, Huawei Shen
  EMNLP 2024 Findings
• 🦋🌪️ The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse. [Paper] [Code] [Website]
  Wanli Yang, Fei Sun, Xinyu Ma, Xun Liu, Dawei Yin, Xueqi Cheng
  ACL 2024 Findings
• Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts? [Paper]
  Hexiang Tan, Fei Sun, Wanli Yang, Yuanzhuo Wang, Qi Cao, Xueqi Cheng
  ACL 2024 Main

Experience

• Research Intern, Meituan Inc.
  04/2025 - present, FMG, with Dr. Hongyu Zang

• Research Intern, Baidu Inc.
  11/2023 - 04/2025, Baidu Search, with Dr. Xinyu Ma

• Research Intern, Renmin University of China
  12/2022 - 06/2023, AI Box Lab, advised by Prof. Wayne Xin Zhao

• Research Intern, Nankai University
  10/2022 - 02/2023, AIOps@NKU Lab, advised by Prof. Shenglin Zhang

Project

• Contributing to RecBole: A unified, comprehensive and efficient recommendation library (github.com), 2.9k Stars
  The code replication of Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation, WSDM’ 23

• Contributing to RecBole-GNN: Efficient and extensible GNNs enhanced recommender library based on RecBole (github.com), 126 Stars
  The code replication of LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation, ICLR’ 23

• Creating NKUSE.ICU: 南开大学软件学院生存手册 & A website for sharing information about the College of Software at Nankai University, 19 Stars & 4 Forks