I am currently a faculty member at the School of Computer Science and Technology, Soochow University. My research lies at the intersection of information retrieval, natural language processing, and large language models. I am particularly interested in conversational search, retrieval-augmented generation, long-document retrieval and reranking, legal information retrieval, and efficient and trustworthy LLM-based systems.
I received my B.S. degree from Xi’an Jiaotong University, my M.S. degree from Xidian University, and my Ph.D. degree from Université Grenoble Alpes, where I was advised by Prof. Eric Gaussier. If you are interested in academic collaboration, student supervision, or research discussions, please feel free to contact me at [email].
🔥 News
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📝 Publications
Minghan Li, Ercong Nie, Huiping Huang, Xinxuan Lv, Guodong Zhou
Information Fusion, 2026
- Robust LLM-based query expansion and rank fusion with dual-layer prompt ensembles.
- Corresponding author and first author.
GLIER: Generative Legal Inference and Evidence Ranking for Legal Case Retrieval
Minghan Li, Tianrui Lv, Chao Zhang, Guodong Zhou
ACL 2026 Main Conference
- A generative legal inference framework for legal case retrieval.
- Combines latent legal variable inference with multi-view evidence ranking.
- Corresponding author and co-first author.
S2G-RAG: Structured Sufficiency and Gap Judging for Iterative Retrieval-Augmented QA
Minghan Li, Junjie Zou, Xinxuan Lv, Chao Zhang, Guodong Zhou
ACL 2026 Main Conference
- An iterative RAG framework with structured sufficiency judgment and gap-guided retrieval.
- Designed for multi-hop QA and evidence-aware iterative retrieval.
- Corresponding author and co-first author.
The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval
Minghan Li, Diana Nicoleta Popa, Johan Chagnon, Yagmur Gizem Cinar, Eric Gaussier
ACM Transactions on Information Systems, 2023
- Studies key-block selection for long document retrieval.
- A representative journal paper on long-document IR.
📚 Conference and Journal Papers
AAAI 2026RFKG-CoT: Relation-Driven Adaptive Hop-count Selection and Few-Shot Path Guidance for Knowledge-Aware QA, Chao Zhang, Minghan Li, Tianrui Lv, Guodong ZhouCOLING 2024Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling, Minghan Li, Eric GaussierSIGIR 2022BERT-based Dense Intra-ranking and Contextualized Late Interaction via Multi-task Learning for Long Document Retrieval, Minghan Li, Eric GaussierAAAI 2022Listwise Learning to Rank Based on Approximate Rank Indicators, Thibaut Thonet, Yagmur Gizem Cinar, Éric Gaussier, Minghan Li, Jean-Michel RendersSIGIR 2021KeyBLD: Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval, Minghan Li, Eric GaussierICPR 2020Learning to Rank for Active Learning: A Listwise Approach, Minghan Li, Xialei Liu, Joost van de Weijer, Bogdan Raducanu
🗂 Preprints and Surveys
arXiv 2026Automatic In-Domain Exemplar Construction and LLM-Based Refinement of Multi-LLM Expansions for Query Expansion, Minghan Li, Ercong Nie, Siqi Zhao, Tongna Chen, Huiping Huang, Guodong ZhouarXiv 2026GenState-AI: State-Aware Dataset for Text-to-Video Retrieval on AI-Generated Videos, Minghan Li, Tongna Chen, Tianrui Lv, Yishuai Zhang, Suchao An, Guodong ZhouarXiv 2026Retrieval-Feedback-Driven Distillation and Preference Alignment for Efficient LLM-based Query Expansion, Minghan Li, Guodong ZhouarXiv 2025Enhanced Retrieval of Long Documents: Leveraging Fine-Grained Block Representations with Large Language Models, Minghan Li, Eric Gaussier, Guodong ZhouarXiv 2025A Survey of Long-Document Retrieval in the PLM and LLM Era, Minghan Li, Miyang Luo, Tianrui Lv, Yishuai Zhang, Siqi Zhao, Ercong Nie, Guodong ZhouarXiv 2025Query Expansion in the Age of Pre-trained and Large Language Models: A Comprehensive Survey, Minghan Li, Xinxuan Lv, Junjie Zou, Tongna Chen, Chao Zhang, Suchao An, Ercong Nie, Guodong ZhouarXiv 2024EviRerank: Adaptive Evidence Construction for Long-Document LLM Reranking, Minghan Li, Eric Gaussier, Juntao Li, Guodong Zhou
📖 Educations
- 2020.10 - 2023.12, Ph.D. in Computer Science,
Université Grenoble Alpes, France. - M.S. in Computer Technology,
Xidian University, China. - B.E. in Information Engineering,
Xi’an Jiaotong University, China.