--- title: "Yishan Li · Sun Yat-sen University — author profile and papers" description: "Yishan Li, Sun Yat-sen University: 3 papers on Elamur Research (2023–2026), h-index 19 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/yishan-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yishan-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yishan Li # Yishan Li Yishan Li has 3 papers in our library, in 2023–2026, most of them on [Text generation](https://md.research.elamur.ai/free/en/topics/text-generation/); often with [Bill Yuchen Lin](https://md.research.elamur.ai/free/en/authors/bill-yuchen-lin/), [Biyuan Lin](https://md.research.elamur.ai/free/en/authors/biyuan-lin/), [Dingling Xu](https://md.research.elamur.ai/free/en/authors/dingling-xu/). 3 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5046083817) · [ORCID](https://orcid.org/0009-0005-3424-274X) · [**h-index 19**](https://openalex.org/authors/A5046083817) · [119 works](https://openalex.org/works?filter=author.id:A5046083817) · [1,380 citations](https://openalex.org/works?filter=author.id:A5046083817&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/yishan-li/#papers) · [🔗 Cited 84 times in our library](https://md.research.elamur.ai/free/en/authors/yishan-li/cited-by/) · [⭐ Paper Stars ranking: #7046](https://md.research.elamur.ai/free/en/paper-stars/page/71/#star-7046) 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=Yishan+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yishan+Li) · [dblp](https://dblp.org/search?q=Yishan+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Yishan+Li) ## Affiliations [🎓**Sun Yat-sen University** Guangzhou · China 2022–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/sun-yat-sen-university/) · [🎓**China University of Geosciences (Beijing)** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/china-university-of-geosciences-beijing/) · [🎓**Nanjing University of Aeronautics and Astronautics** Nanjing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/nanjing-university-of-aeronautics-and-astronautics/) · [🔬**State Key Laboratory of Geological Processes and Mineral Resources** Wuhan 2026 · 1 paper*current*](https://ror.org/04sg95s75) · [🎓**Kaohsiung Medical University** Kaohsiung · Taiwan 2018–2024 · 7 papers](https://ror.org/03gk81f96) · [🔬**Genomics Research Center, Academia Sinica** Taipei · Taiwan 2006–2022 · 7 papers](https://ror.org/002mmyt85) · [🔬**Academia Sinica** Taipei · Taiwan 2006–2022 · 6 papers](https://md.research.elamur.ai/free/en/labs/academia-sinica/) · [🎓**National Yang Ming Chiao Tung University** Hsinchu · Taiwan 2007–2021 · 6 papers](https://md.research.elamur.ai/free/en/universities/national-yang-ming-chiao-tung-university/) · [🎓**Chongqing University** Chongqing · China 2016–2017 · 6 papers](https://md.research.elamur.ai/free/en/universities/chongqing-university/) · [🎓**Minnan Normal University** Zhangzhou · China 2024–2025 · 4 papers](https://ror.org/02vj1vm13) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 45 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 6 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 1 Research subjects and languages the work is about.[Text generation · 1 work](https://md.research.elamur.ai/free/en/topics/text-generation/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/yishan-li/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yishan-li/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/yishan-li/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks](https://md.research.elamur.ai/free/en/papers/jiang-2023-tigerscore-towards-building-explainable-metric/)** *(2023 · 50 citations)* Automatic metrics for text generation usually need gold references, work only in narrow domains such as machine translation, or give a bare number with no explanation. 2. **[RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework](https://md.research.elamur.ai/free/en/papers/zhu-2025-rageval-scenario-specific-rag-evaluation/)** *(2025 · 34 citations)* Testing RAG systems in specialised fields such as law, finance or medicine is hard. Building expert-annotated, domain-specific test sets is expensive and raises privacy issues, and lexical metrics like BLEU or ROUGE-L judge long answers poorly. RAGEval addresses this by generating evaluation data automatically.… 3. **[MiniCPM-SALA: Hybridizing Sparse and Linear Attention for Efficient Long-Context Modeling](https://md.research.elamur.ai/free/en/papers/minicpm-team-2026-minicpm-sala-hybridizing-sparse/)** *(2026 · 2 citations)* Full attention in Transformers is costly for very long inputs. Compute grows quadratically with length, and the KV-Cache can reach tens or hundreds of gigabytes at million-token scale. Sparse attention cuts computation but still keeps the whole cache. Linear attention is cheap but compresses context lossily and loses… ## Co-authors here 12 of 22 co-authors with a page, the most papers together first. - [Bill Yuchen Lin](https://md.research.elamur.ai/free/en/authors/bill-yuchen-lin/) - [Biyuan Lin](https://md.research.elamur.ai/free/en/authors/biyuan-lin/) - [Dingling Xu](https://md.research.elamur.ai/free/en/authors/dingling-xu/) - [Dongfu Jiang](https://md.research.elamur.ai/free/en/authors/dongfu-jiang/) - [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/) - [Kunlun Zhu](https://md.research.elamur.ai/free/en/authors/kunlun-zhu/) - [MiniCPM Team](https://md.research.elamur.ai/free/en/authors/minicpm-team/) - [Nan Zhang](https://md.research.elamur.ai/free/en/authors/nan-zhang/) - [Ruobing Wang](https://md.research.elamur.ai/free/en/authors/ruobing-wang/) - [Shi Yu](https://md.research.elamur.ai/free/en/authors/shi-yu/) - [Shuo Wang](https://md.research.elamur.ai/free/en/authors/shuo-wang/) - [Wenhao Huang](https://md.research.elamur.ai/free/en/authors/wenhao-huang/) ## 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/): [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ## Cited by Papers of our library cite their works 84 times (of the 149,439 papers whose bibliographies we read); [27 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yishan-li/cited-by/). Updated 1 November 2026