--- title: "Yunshui Li — author profile and papers — Elamur Research" description: "Yunshui Li, Chinese Academy of Sciences: 2 papers on Elamur Research (2024), h-index 7 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/yunshui-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yunshui-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Yunshui Li # Yunshui Li Yunshui Li has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/); often with [Lei Zhang](https://md.research.elamur.ai/free/en/authors/lei-zhang/), [Min Yang](https://md.research.elamur.ai/free/en/authors/min-yang/), [Binyuan Hui](https://md.research.elamur.ai/free/en/authors/binyuan-hui/). 2 papers in our library · 2024 [OpenAlex](https://openalex.org/A5108855157) · [**h-index 7**](https://openalex.org/authors/A5108855157) · [27 works](https://openalex.org/works?filter=author.id:A5108855157) · [95 citations](https://openalex.org/works?filter=author.id:A5108855157&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yunshui-li/#papers) · [🔗 Cited 172 times in our library](https://md.research.elamur.ai/free/en/authors/yunshui-li/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4943](https://md.research.elamur.ai/free/en/paper-stars/page/50/#star-4943) 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=Yunshui+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yunshui+Li) · [dblp](https://dblp.org/search?q=Yunshui+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Yunshui+Li) ## Affiliations [🎓**University of Chinese Academy of Sciences** Beijing · China 2022–2025 · 19 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2022–2025 · 16 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Shenzhen Institutes of Advanced Technology** Shenzhen · China 2022–2025 · 16 papers*current*](https://md.research.elamur.ai/free/en/labs/shenzhen-institutes-of-advanced-technology/) · [🎓**Peking University** Beijing · China 2024–2025 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) · [🎓**Tsinghua University** Beijing · China 2024–2025 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🏢**Alibaba Group** Hangzhou · China 2023–2024 · 5 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🏢**Alibaba DAMO Academy** Hangzhou · China 2023 · 2 papers](https://md.research.elamur.ai/free/en/companies/alibaba-damo-academy/) · [🏢**Alibaba Group** George Town · Cayman Islands 2023 · 2 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group-cayman-islands/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Concepts, shelves and topics Of its works in our library: the number of works on each and its rating among them. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2 Research subjects and languages the work is about.[Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 2 papers Yunshui Li's papers of 2024](https://md.research.elamur.ai/free/en/authors/yunshui-li/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA](https://md.research.elamur.ai/free/en/papers/wang-2024-leave-no-document-behind-benchmarking/)** *(2024 · 71 citations)* Most current long-context benchmarks make inputs longer by padding them with unrelated filler text. In those setups, the evidence for an answer usually sits in one place, so a model can skip most of the input and still answer correctly. Wang et al. address this with Loong, a multi-document QA benchmark where every… 2. **[One-Shot Learning as Instruction Data Prospector for Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-one-shot-learning-as-instruction/)** *(2024 · 61 citations)* Instruction tuning datasets keep growing, but larger collections often carry noisy examples, and choosing good subsets usually depends on costly trial-and-error. ## All works 3 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. **[Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA](https://md.research.elamur.ai/free/en/papers/wang-2024-leave-no-document-behind-benchmarking/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Minzheng Wang, Longze Chen, Fu Cheng, et al.*2024 · 71 citations* 2. **[One-Shot Learning as Instruction Data Prospector for Large Language Models](https://md.research.elamur.ai/free/en/papers/li-2024-one-shot-learning-as-instruction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yunshui Li, Binyuan Hui, Xiaobo Xia, et al.*2024 · 61 citations* 3. **[GATEAU: Selecting Influential Samples for Long Context Alignment ↗](https://aclanthology.org/2025.emnlp-main.375/) Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yet**Shuzheng Si et al.*2025 · 5 citations* ## Co-authors here 10 co-authors with a page, the most papers together first. - [Lei Zhang](https://md.research.elamur.ai/free/en/authors/lei-zhang/) ×2 - [Min Yang](https://md.research.elamur.ai/free/en/authors/min-yang/) ×2 - [Binyuan Hui](https://md.research.elamur.ai/free/en/authors/binyuan-hui/) - [Fei Huang](https://md.research.elamur.ai/free/en/authors/fei-huang/) - [Haiyang Yu](https://md.research.elamur.ai/free/en/authors/haiyang-yu/) - [Jiaxi Yang](https://md.research.elamur.ai/free/en/authors/jiaxi-yang/) - [Nan Xu](https://md.research.elamur.ai/free/en/authors/nan-xu/) - [Tongliang Liu](https://md.research.elamur.ai/free/en/authors/tongliang-liu/) - [Xinghua Zhang](https://md.research.elamur.ai/free/en/authors/xinghua-zhang/) - [Yongbin Li](https://md.research.elamur.ai/free/en/authors/yongbin-li/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/) ×2: [EMNLP 2024](https://md.research.elamur.ai/free/en/venues/emnlp/2024/) - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/) ## Cited by Papers of our library cite their works 172 times (of the 141,840 papers whose bibliographies we read); [7 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yunshui-li/cited-by/). Updated 24 October 2026