--- title: "Huijia Li · Nankai University — author profile and papers" description: "Huijia Li, Nankai University: 3 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/huijia-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/huijia-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Huijia Li # Huijia Li Huijia Li has 3 papers in our library, in 2026, most of them on [Legal AI](https://md.research.elamur.ai/free/en/topics/legal-ai/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); 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/). 3 papers in our library · 2026 [OpenAlex](https://openalex.org/A5129695458) · [**h-index 0**](https://openalex.org/authors/A5129695458) · [4 works](https://openalex.org/works?filter=author.id:A5129695458) · [0 citations](https://openalex.org/works?filter=author.id:A5129695458&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/huijia-li/#papers) · [⭐ Paper Stars ranking: #13319](https://md.research.elamur.ai/free/en/paper-stars/page/134/#star-13319) 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=Huijia+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Huijia+Li) · [dblp](https://dblp.org/search?q=Huijia+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Huijia+Li) ## Affiliations [🎓**Nankai University** Tianjin · China 2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/nankai-university/) 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 · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Political Science and International Relations · 3 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) · [Social Sciences · 3 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Law · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/law/) 🧭 Topics 4 Research subjects and languages the work is about.[Legal AI · 2 works](https://md.research.elamur.ai/free/en/topics/legal-ai/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/huijia-li/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. **[Less is More: Knowledge-Aware Compression for Long Legal Judgment Prediction](https://md.research.elamur.ai/free/en/papers/lou-2026-less-is-more-knowledge-aware/)** *(2026)* Predicting court outcomes from long case descriptions is costly for LLMs because attention cost grows quadratically with input length, and crucial legal facts can get lost in lengthy contexts. 3. **[Pub-LawBench: Public-Oriented Benchmarking for LegalAI](https://md.research.elamur.ai/free/en/papers/zheng-2026-pub-lawbench-public-oriented-benchmarking/)** *(2026)* Most LegalAI benchmarks, such as LegalBench and LawBench, are built around what lawyers need: issue spotting, citations, and rigorous reasoning. ## 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/) ×3 - [Qiqi Wang](https://md.research.elamur.ai/free/en/authors/qiqi-wang/) ×3 - [Fanghao Lou](https://md.research.elamur.ai/free/en/authors/fanghao-lou/) ×2 - [Guanyu Chen](https://md.research.elamur.ai/free/en/authors/guanyu-chen/) ×2 - [Senbo Zhang](https://md.research.elamur.ai/free/en/authors/senbo-zhang/) ×2 - [Kaiqi Zhao](https://md.research.elamur.ai/free/en/authors/kaiqi-zhao/) - [Yihong Pan](https://md.research.elamur.ai/free/en/authors/yihong-pan/) ## 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 - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) Updated 2 November 2026