Understanding the Multi-vector Dense Retrieval Models. - Qi Liu 071; Jiaxin Mao (CIKM, 2023)

Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval. - Hanqi Zhang; Chong Chen 001; Lang Mei; Qi Liu 071; Jiaxin Mao (CIKM, 2024)

Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings. - Isabelle Mohr; Markus Krimmel; Saba Sturua; Mohammad Kalim Akram; Andreas Koukounas; Michael Günther 002; Georgios Mastrapas; Vinit Ravishankar; Joan Fontanals Martínez; Feng Wang; Qi Liu 071; Ziniu Yu; et al. (CoRR, 2024)

TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy. - Yiqun Chen 004; Qi Liu 071; Yi Zhang 050; Weiwei Sun 001; Daiting Shi; Jiaxin Mao; Dawei Yin (CoRR, 2024)

An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models. - Qi Liu 071; Gang Guo; Jiaxin Mao; Zhicheng Dou; Ji-Rong Wen; Hao Jiang 022; Xinyu Zhang 019; Zhao Cao (ACM Trans. Inf. Syst., 2024)

TourRank: Utilizing Large Language Models for Documents Ranking with a Tournament-Inspired Strategy. - Yiqun Chen 004; Qi Liu 071; Yi Zhang 050; Weiwei Sun 001; Xinyu Ma; Wei Yang 041; Daiting Shi; Jiaxin Mao; Dawei Yin (WWW, 2025)

Leveraging Passage Embeddings for Efficient Listwise Reranking with Large Language Models. - Qi Liu 071; Bo Wang 096; Nan Wang; Jiaxin Mao (WWW, 2025)

LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking. - Qi Liu 071; Haozhe Duan; Yiqun Chen 004; Quanfeng Lu; Weiwei Sun 001; Jiaxin Mao (CoRR, 2025)

How do Large Language Models Understand Relevance? A Mechanistic Interpretability Perspective. - Qi Liu 071; Jiaxin Mao; Ji-Rong Wen (CoRR, 2025)