I am currently a second-year Master’s student in Computer Science at Northeastern University, focusing on Retrieval-Augmented Generation, Large Language Models, and Multi-Modal Large Language Models. Google Scholar:
Now I am engaged in research internships at NEUIR Lab under the guidance of Associate Professor Zhenghao Liu, as well as at THUNLP, supervised by Yukun Yan .
My hobbies are dancing 💃 and guitar 🎸. My favorite dance styles are jazz and hiphop. I usually play folk guitar. If you share these interests, I would be glad to connect and grow together 📞.
👀 I am looking for a Ph.D. position starting in Fall 2027 and would love to explore potential collaborations. Let’s connect!
🔥 News
- 2025.08: 🎉 We released UltraRAG 2.0
, an low-code framework for building complex RAG systems!
- 2025.05: 🎉 Our paper RankCoT is accepted by ACL 2025!
📝 Publications
* indicates equal contribution, and † indicates corresponding author.
RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts
Mingyan Wu, Zhenghao Liu†,Yukun Yan†, Xinze Li, Shi Yu, Zheni Zeng, Yu Gu, Ge Yu
- This work leverages the strengths of both ranking and summarization to effectively refine the knowledge from retrieval results, thereby aiding LLMs in generating more accurate responses.
Graph-Anchored Knowledge Indexing for Retrieval-Augmented Generation
Zhenghao Liu*†, Mingyan Wu*, Xinze Li, Yukun Yan†, Shuo Wang, Cheng Yang, Minghe Yu, Zheni Zeng, Maosong Sun
- This work reconceptualizes knowledge graphs as dynamically evolving indices that anchor salient entities and relations to guide iterative retrieval and answer generation.
📖 Educations
- 2024.09 - now, M.S. School of Computer Science and Engineering, Northeastern University
- 2020.09 - 2024.07, B.S. School of Computer Science, Yangtze University
💻 Internships
- 2024.04 - now, THUNLP, Tsinghua University, Beijing.
- 2023.10 - now, NEUIR Lab, Northeastern University, Shenyang.