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Zhumin Chen

Zhumin Chen has 4 papers in our library, in 2023–2026, most of them on Information retrieval & search, Question answering, Reasoning; often with Pengjie Ren, Zhaochun Ren, Dawei Yin.

4 papers in our library · 2023–2026

OpenAlex · ORCID · Wikidata · h-index 34 · 190 works · 5,717 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 374 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #3575

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Shandong UniversityJinan · China2006–2026 · 165 paperscurrent🎓Shanghai Polytechnic UniversityShanghai · China2009–2026 · 4 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 4 worksComputer Science · 4 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 4 worksInformation Systems · 2 worksComputer Vision and Pattern Recognition · 2 works

🧭 Topics 3Research subjects and languages the work is about.Information retrieval & search · 2 worksQuestion answering · 1 workReasoning · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Latent semantic indexing · 1 work

 Works by year

2020s

20262 papers20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents (2023 · 496 citations)
    Most earlier attempts to use large language models in search had them generate queries or documents. This paper asks whether chat-style models such as ChatGPT and GPT-4 can directly re-order a set of retrieved passages by relevance. Older prompting styles, query generation and relevance generation, gave weak results…
  2. Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering (2024 · 65 citations)
    Multi-hop question answering (MHQA) requires LLMs to chain several pieces of knowledge. The usual retrieve-then-read approach depends on the retriever's quality and can be misled by noisy documents. It also ignores what the model already knows. The authors propose GenGround, a generate-then-ground framework that…
  3. Reinforced Efficient Reasoning via Semantically Diverse Exploration (2026 · 9 citations)
    RLVR methods such as GRPO assign one reward to a whole response. MCTS-based variants refine this by building tree-structured rollouts, which allows credit to be assigned per segment. However, they usually choose branch points using token-level generation entropy. This often splits on near-synonyms (e.g., "can" vs.…
  4. Spectral Characterization and Mitigation of Sequential Knowledge Editing Collapse (2026)
    The paper investigates why large language models degrade sharply when facts are edited one after another over long horizons, a failure common to parameter-modifying editors such as MEMIT, RECT, PRUNE and AlphaEdit.

All works

8 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking AgentsConference on Empirical Methods in Natural Language Processing (EMNLP)Weiwei Sun, Lingyong Yan, Xinyu Ma, et al.2023 · 496 citations
  2. RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetPengjie Ren et al.2019 · 266 citations
  3. EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation ↗Proceedings of the 28th International Conference on Computational Linguistics · no summary yetQintong Li et al.2020 · 184 citations
  4. Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Zhengliang Shi, Shuo Zhang, Weiwei Sun, et al.2024 · 65 citations
  5. Syllogistic Reasoning for Legal Judgment Analysis ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetWentao Deng et al.2023 · 60 citations
  6. Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning ↗Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yetYougang Lyu et al.2023 · 20 citations
  7. Reinforced Efficient Reasoning via Semantically Diverse ExplorationAnnual Meeting of the Association for Computational Linguistics (ACL)Ziqi Zhao, Zhaochun Ren, Jiahong Zou, et al.2026 · 9 citations
  8. Spectral Characterization and Mitigation of Sequential Knowledge Editing CollapseAnnual Meeting of the Association for Computational Linguistics (ACL)Chi Zhang, Mengqi Zhang, Xiaotian Ye, et al.2026

 Co-authors here

12 of 13 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 374 times (of the 149,439 papers whose bibliographies we read); 61 citing papers with a page here →.

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