--- title: "Yihong Pan · University of Auckland — author profile and papers" description: "Yihong Pan, University of Auckland: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/yihong-pan/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yihong-pan/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yihong Pan # Yihong Pan Yihong Pan has 2 papers in our library, in 2026, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Legal AI](https://md.research.elamur.ai/free/en/topics/legal-ai/); often with [Qian Liu](https://md.research.elamur.ai/free/en/authors/qian-liu/), [Qiqi Wang](https://md.research.elamur.ai/free/en/authors/qiqi-wang/), [Fanghao Lou](https://md.research.elamur.ai/free/en/authors/fanghao-lou/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5129108502) · [**h-index 0**](https://openalex.org/authors/A5129108502) · [3 works](https://openalex.org/works?filter=author.id:A5129108502) · [0 citations](https://openalex.org/works?filter=author.id:A5129108502&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yihong-pan/#papers) · [⭐ Paper Stars ranking: #14060](https://md.research.elamur.ai/free/en/paper-stars/page/141/#star-14060) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Yihong+Pan) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yihong+Pan) · [dblp](https://dblp.org/search?q=Yihong+Pan) · [ACL Anthology](https://aclanthology.org/search/?q=Yihong+Pan) ## Affiliations [🎓**University of Auckland** Auckland · New Zealand 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-auckland/) 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 7 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Political Science and International Relations · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Law · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/law/) 🧭 Topics 2 Research subjects and languages the work is about.[Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Legal AI · 1 work](https://md.research.elamur.ai/free/en/topics/legal-ai/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yihong-pan/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[DefGen-Bench: A Benchmark for Chinese Criminal Defence Opinion Generation in LegalAI](https://md.research.elamur.ai/free/en/papers/zhang-2026-defgen-bench-benchmark-chinese-criminal/)** *(2026)* The paper introduces defence opinion generation as a new LegalAI task. A model must produce a structured defence statement for a Chinese criminal case using two inputs: the indictment and the defendant's own stated position. These inputs often conflict, so the authors treat the task as a dual-perspective problem.… 2. **[LegalChainReasoner: Grounding Criminal Judicial Opinion Generation via Structured Legal Chains](https://md.research.elamur.ai/free/en/papers/shi-2026-legalchainreasoner-grounding-criminal-judicial-opinion/)** *(2026)* Current LegalAI work treats legal reasoning and sentencing prediction as separate tasks. As a result, generated arguments can contradict the predicted penalty, and predicted sentences come with no legal justification. The authors propose a new task, Criminal Judicial Opinion Generation (CJOG), in which a model writes… ## Co-authors here 7 co-authors with a page, the most papers together first. - [Qian Liu](https://md.research.elamur.ai/free/en/authors/qian-liu/) ×2 - [Qiqi Wang](https://md.research.elamur.ai/free/en/authors/qiqi-wang/) ×2 - [Fanghao Lou](https://md.research.elamur.ai/free/en/authors/fanghao-lou/) - [Guanyu Chen](https://md.research.elamur.ai/free/en/authors/guanyu-chen/) - [Huijia Li](https://md.research.elamur.ai/free/en/authors/huijia-li/) - [Kaiqi Zhao](https://md.research.elamur.ai/free/en/authors/kaiqi-zhao/) - [Senbo Zhang](https://md.research.elamur.ai/free/en/authors/senbo-zhang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 Updated 2 November 2026