Hi there👋I am Jiaxi Li, a Ph.D. student at the University of Georgia. I obtained my Bachelor’s degree in Computer Science from Shandong University in June 2024.
My current research focuses on self-evolving agents that improve over time by mining learning signals from their own trajectories. I explore approaches such as skill evolution and failure attribution, which turn both successful and failed attempts into lessons for future tasks.
📝 Core Publications and Research
* Equal Contribution; $\dagger$ Corresponding Author.
Online Skill Learning for Web Agents via State-Grounded Dynamic Retrieval
Jiaxi Li, Ke Deng, Yun Wang, Jingyuan Huang, Yucheng Shi, Qiaoyu Tan, Jin Lu$\dagger$, Ninghao Liu$\dagger$
Accepted in NeurIPS 2026 TTCL Workshop; Preprint. [pdf] [code]
MITS: Enhanced Tree Search Reasoning for LLMs via Pointwise Mutual Information
Jiaxi Li*, Yucheng Shi*, Xiao Huang, Jin Lu$\dagger$, Ninghao Liu$\dagger$
PAKDD 2026 (Best Paper Finalist; Oral). [pdf] [code]
Mitigating Hallucination Through Theory-Consistent Symmetric Multimodal Preference Optimization
Wenqi Liu, Xuemeng Song$\dagger$, Jiaxi Li, Yinwei Wei, Na Zheng, Jianhua Yin, Liqiang Nie
NeurIPS 2025. [pdf] [code]
HELENE: Hessian Layer-wise Clipping and Gradient Annealing for Accelerating Fine-tuning LLM with Zeroth-order Optimization
Huaqin Zhao*, Jiaxi Li*, Yi Pan, Shizhe Liang, Xiaofeng Yang, Wei Liu, Xiang Li, Fei Dou, Tianming Liu, Jin Lu$\dagger$
EMNLP 2025 (Main). [pdf]
Automating Expert-Level Medical Reasoning Evaluation of Large Language Models
Shuang Zhou*, Wenya Xie*, Jiaxi Li*, Zaifu Zhan, Meijia Song, Han Yang, …, Meng-Han Tsai, Emma Schaffer, Yucheng Shi, Ninghao Liu, Zirui Liu, Rui Zhang$\dagger$
npj Digital Medicine 2025. [pdf] [code]
📚 Selected Publications
Co-adaptive Rule Routing and Constraining for Structured Knowledge Retrieval
Zhisheng Qi, Haoyu Han, Jiaxi Li, Bing He, Huiyuan Chen, Franck Dernoncourt, Ryan A. Rossi, Mahantesh M. Halappanavar, Jin Lu, Yu Zhang, Tianming Liu, Yu Wang
Preprint. [pdf] [code]
GraphVerse: A Comprehensive Visual Graph Reasoning Benchmark for Multimodal Large Language Models
Yuanfu Sun*, Yuanhang Ren*, Kang Li*, Chuanhao Ji, Jiaxi Li, Jiajin Liu, Ninghao Liu, Qiaoyu Tan$\dagger$
EMNLP 2026 (Main). [pdf] [code]
Fact or Guesswork? Evaluating Large Language Models’ Medical Knowledge with Structured One-Hop Judgments
Jiaxi Li, Yiwei Wang, Kai Zhang, Yujun Cai, Bryan Hooi, Nanyun Peng, Kai-Wei Chang, Jin Lu$\dagger$
Preprint. [pdf] [code]
📖 Education
- 2024.08 - current, University of Georgia, Ph.D. in Computer Science.
- 2020.09 - 2024.06, Shandong University, B.E. in Computer Science and Technology.
💬 Selected Presentations
- 2023.10, When do graph neural networks work on node classification task and when not? [Blog] [知乎]
- 2024.10, Scaling up test-time compute for LLM reasoning. [Slides]
📝 Services
- Reviewer for ACL 2025, EMNLP 2025.
🎖 Honors and Awards
- 2024.06 Outstanding graduate of Shandong Province.
|