I joined the School of Computer Science and Technology at Soochow University in 2024, where I am currently an Associate Professor. My research lies at the intersection of information retrieval, natural language processing, and large language models. I am particularly interested in conversational search and retrieval-augmented generation, memory and reasoning for LLM-based agents, long-document retrieval and reranking, legal AI, and efficient and trustworthy LLM 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, France. During my Ph.D., I conducted research at the Laboratoire d’Informatique de Grenoble (LIG), a joint research laboratory affiliated with CNRS and Université Grenoble Alpes, under the supervision of Prof. Eric Gaussier. If you are interested in academic collaboration, student supervision, or research discussions, please feel free to contact me by email.

RESEARCH GROUP Search, memory & reasoning for language AI.Soochow University Group of Advanced Retrieval (SUGAR)

🔥 News

  • Congratulations to my master’s student Chao Zhang on receiving the National Scholarship for Graduate Students!

  • Our survey, A Survey of Long-Document Retrieval in the PLM and LLM Era, has been accepted by ACM TOIS.

  • Three papers accepted by EMNLP 2026: SAGA and Cascade-SC to the Main Conference, and EviRerank to Findings.

  • Retrieval-Feedback Aligned Distillation for Deployable LLM Query Expansion has been accepted for an oral presentation at NLPCC 2026.

  • Query Expansion in the Age of Pre-trained and Large Language Models: A Comprehensive Survey has been accepted by ACM TOIS.

📝 Selected Publications

* Corresponding author; † Co-first author.

EMNLP 2026 Findings
EviRerank framework architecture

EviRerank: Adaptive Evidence Construction for Long-Document LLM Reranking

Minghan Li*, Eric Gaussier, Juntao Li, Guodong Zhou

EMNLP 2026 Findings

  • Adaptive evidence construction for efficient long-document LLM reranking.
Information Fusion 2026
Dual-Layer Prompt Ensembles

Dual-Layer Prompt Ensembles: Leveraging System-and User-Level Instructions for Robust LLM-Based Query Expansion and Rank Fusion

Minghan Li*, Ercong Nie, Huiping Huang, Xinxuan Lv, Guodong Zhou

Information Fusion, 2026 (JCR Q1, CAAI-A journal, IF 17.4)

  • Robust query expansion and rank fusion via dual-layer prompt ensembles.
ACL 2026
GLIER

GLIER: Generative Legal Inference and Evidence Ranking for Legal Case Retrieval

Minghan Li*†, Tianrui Lv†, Chao Zhang, Guodong Zhou

ACL 2026 Main Conference

  • Generative legal inference and evidence ranking for legal case retrieval.
ACL 2026
S2G-RAG

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

  • Iterative RAG with structured sufficiency judgment and gap-guided retrieval.
TOIS 2023
KeyB(vBERT) architecture, Figure 7

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 (JCR Q1, CCF-A journal, IF 11.2)

  • Key-block selection with local pre-ranking for long-document retrieval.

📚 Conference and Journal Papers

* Corresponding author; † Co-first author.

  • TOIS 2026 A Survey of Long-Document Retrieval in the PLM and LLM Era
    Minghan Li*, Yishuai Zhang, Tianrui Lv, Siqi Zhao, Miyang Luo, Ercong Nie, Guodong Zhou (JCR Q1, CCF-A journal, IF 11.2)
  • TOIS 2026 Query 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 Zhou (JCR Q1, CCF-A journal, IF 11.2)
  • Information Fusion 2026 Dual-Layer Prompt Ensembles: Leveraging System-and User-Level Instructions for Robust LLM-Based Query Expansion and Rank Fusion
    Minghan Li*, Ercong Nie, Huiping Huang, Xinxuan Lv, Guodong Zhou (JCR Q1, CAAI-A journal, IF 17.4)
  • ACL 2026 Main Conference GLIER: Generative Legal Inference and Evidence Ranking for Legal Case Retrieval
    Minghan Li*†, Tianrui Lv†, Chao Zhang, Guodong Zhou
  • ACL 2026 Main Conference S2G-RAG: Structured Sufficiency and Gap Judging for Iterative Retrieval-Augmented QA
    Minghan Li*†, Junjie Zou†, Xinxuan Lv, Chao Zhang, Guodong Zhou
  • EMNLP 2026 Main Conference SAGA: Structured Applicability-Guided Alignment for Conversational Legal Retrieval
    Xinxuan Lv†, Minghan Li*†, Guodong Zhou
  • EMNLP 2026 Main Conference Cascade-SC: A Pareto-Efficient Cross-Model Cascade for Test-Time Reasoning
    Minghan Li*†, Siqi Zhao†, Luoliang Hua, Guodong Zhou
  • EMNLP 2026 Findings EviRerank: Adaptive Evidence Construction for Long-Document LLM Reranking
    Minghan Li*, Eric Gaussier, Juntao Li, Guodong Zhou
  • NLPCC 2026 Conference Oral Retrieval-Feedback Aligned Distillation for Deployable LLM Query Expansion
    Minghan Li, Guodong Zhou
  • AACL-IJCNLP 2026 GenState-AI: State-Aware Dataset for Text-to-Video Retrieval on AI-Generated Videos
    Minghan Li*†, Tongna Chen†, Tianrui Lv†, Yishuai Zhang, Suchao An, Guodong Zhou
  • AAAI 2026 RFKG-CoT: Relation-Driven Adaptive Hop-count Selection and Few-Shot Path Guidance for Knowledge-Aware QA
    Chao Zhang, Minghan Li*, Tianrui Lv, Guodong Zhou
  • COLING 2024 Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling
    Minghan Li, Eric Gaussier
  • TOIS 2023 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 (JCR Q1, CCF-A journal, IF 11.2)
  • SIGIR 2022 BERT-based Dense Intra-ranking and Contextualized Late Interaction via Multi-task Learning for Long Document Retrieval
    Minghan Li, Eric Gaussier
  • AAAI 2022 Listwise Learning to Rank Based on Approximate Rank Indicators
    Thibaut Thonet, Yagmur Gizem Cinar, Éric Gaussier, Minghan Li, Jean-Michel Renders
  • SIGIR 2021 KeyBLD: Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval
    Minghan Li, Eric Gaussier
  • ICPR 2020 Learning to Rank for Active Learning: A Listwise Approach
    Minghan Li, Xialei Liu, Joost van de Weijer, Bogdan Raducanu

🗂 Preprints and Surveys

  • arXiv 2026 Automatic 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 Zhou
  • arXiv 2026 Retrieval-Feedback-Driven Distillation and Preference Alignment for Efficient LLM-based Query Expansion, Minghan Li, Guodong Zhou
  • arXiv 2025 Enhanced Retrieval of Long Documents: Leveraging Fine-Grained Block Representations with Large Language Models, Minghan Li, Eric Gaussier, Guodong Zhou

💰 Research Grants

  • National Natural Science Foundation of China (NSFC) grant: Research on Causality-Enhanced Memory Mechanisms for Long-Term Conversational Agents, Principal Investigator.
  • Soochow University Academic Start-up Fund, Principal Investigator.
  • 2023 — Domain Transfer for Conversational Search, IDEX Université Grenoble Alpes, for a research visit to the National University of Singapore (NUS), Principal Investigator.

Academic Service

Area ChairACL Rolling Review (ARR)

Conference Reviewer / PC MemberAAAI, ACM SIGIR, ECIR, ACL, ICLR, NeurIPS

Journal ReviewerACM TOIS, IEEE TPAMI, Artificial Intelligence, IEEE TMC, ACM TKDD, Information Processing & Management (IP&M), Chinese Journal of Computers

📖 Educations