Qi Liu

2026

doi dblp
How Do Large Language Models Understand Relevance? A Mechanistic Interpretability Perspective.
Qi Liu|Haozhe Duan|Jiaxin Mao|Ji-Rong Wen
ACM Transactions on Information Systems (TOIS) 2026 Volume 44 Issue 2
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MCP-Focus: Leveraging Function-Oriented Document Enhancement for MCP Server Retrieval.
Qi Liu|Fanyu Kong|Wenchun Jing|Han Zhang|Chaoran Luo|Songlin Wang|Haiyang Shen|Xing Tang|Kang Zhang|Ning Zhang|Ningyuan Li|Haoran Wang|Qi Liu|Han Zhang|Ningyuan Li|Xing Tang|Yun Ma|Yunjiang Jiang|Chaoran Luo|Songlin Wang|Fanyu Kong|Wenchun Jing|Ning Zhang|Kang Zhang|Yun Ma|Yunjiang Jiang
Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2026, MelbourneVICAustralia, July 20-24, 2026

2025

doi dblp
TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy.
Yiqun Chen|Qi Liu|Yi Zhang|Weiwei Sun|Xinyu Ma|Wei Yang|Daiting Shi|Jiaxin Mao|Dawei Yin
Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025
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Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models.
Qi Liu|Bo Wang|Nan Wang|Jiaxin Mao
Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025

2024

doi dblp
An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models.
Qi Liu|Gang Guo|Jiaxin Mao|Zhicheng Dou|Ji-Rong Wen|Hao Jiang|Xinyu Zhang|Zhao Cao
ACM Transactions on Information Systems (TOIS) 2024 Volume 42 Issue 5
doi dblp
Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval.
Hanqi Zhang|Chong Chen|Lang Mei|Qi Liu|Jiaxin Mao
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024

2023

doi dblp
Understanding the Multi-vector Dense Retrieval Models.
Qi Liu|Jiaxin Mao
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023