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Guotong Geng

Guotong Geng has 2 papers in our library, in 2026, most of them on Legal AI, Information retrieval & search; often with Wenpeng Hu, Zhunchen Luo, Juntao Li.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 1 · 30 works · 3 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 1 time in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #11518

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 · China2022–2026 · 25 paperscurrent🔬Academy of Military Medical SciencesBeijing · China2026 · 1 papercurrent

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 · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 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

 Papers

The most cited first (OpenAlex and our library).

  1. 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.
  2. 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; 2 with a page here, the others link their original until we summarise them.

  1. 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
  2. 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
  3. SHARP: Self-adaptive Harmful Category-aware Prompt Generation for Black-box Jailbreaking ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYingjie Xue 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

10 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 1 time (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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