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Zhunchen Luo

Zhunchen Luo has 3 papers in our library, in 2018–2026, most of them on Legal AI, Information retrieval & search; often with Guotong Geng, Wenpeng Hu, Heyan Huang.

3 papers in our library · 2018–2026

OpenAlex · h-index 0 · 3 works · 0 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 113 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #3803

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

🔬PLA Academy of Military ScienceBeijing · China2026 · 2 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

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

📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 workPolitical Science and International Relations · 1 workSocial Sciences · 1 work

🧭 Topics 2Research subjects and languages the work is about.Information retrieval & search · 1 workLegal AI · 1 work

 Works by year

2020s

20262 papers

2010s

20181 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Jointly Multiple Events Extraction via Attention-based Graph Information Aggregation (2018 · 509 citations)
    Single sentences often contain several events, for example an Attack together with a Die, and these events influence how each other should be read.
  2. IS-CoT: Breaking the Long-form Generation Collapse via Interleaved Structural Thinking (2026 · 1 citation)
    The paper tackles a weakness of LLMs in open-ended long-form writing: once the requested length goes beyond roughly 2,000 words, both quality and adherence to the target length drop sharply.
  3. When Rules Learn: A Self-Evolving Agent for Legal Case Retrieval (2026)
    Lexical retrieval with BM25 remains surprisingly strong for Chinese legal case retrieval. On LeCaRD-v2, it beats both general and legal-domain dense embedders. The authors therefore improve BM25 instead of replacing it. Their approach rewrites queries with an LLM that follows explicit, human-readable rewriting rules.

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Jointly Multiple Events Extraction via Attention-based Graph Information AggregationConference on Empirical Methods in Natural Language Processing (EMNLP)Xiao Liu, Zhunchen Luo, Heyan Huang2018 · 509 citations
  2. IS-CoT: Breaking the Long-form Generation Collapse via Interleaved Structural ThinkingAnnual Meeting of the Association for Computational Linguistics (ACL)Zechen Sun, Yuyang Sun, Zecheng Tang, et al.2026 · 1 citation
  3. When Rules Learn: A Self-Evolving Agent for Legal Case RetrievalFindings of the Association for Computational LinguisticsMingxu Tao, Jiawei Hu, Xian Zhou, et al.2026
  4. DisCal: Distribution-Aware Calibration for Mathematical Reasoning Under Character-Level Noisy Inputs ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetBo Zhang et al.2026

 Co-authors here

12 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 113 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

Updated

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