--- title: "Xuhui Jiang — author profile and papers — Elamur Research" description: "Xuhui Jiang, Chinese Academy of Sciences: 3 papers on Elamur Research (2026), h-index 9 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/xuhui-jiang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xuhui-jiang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Xuhui Jiang # Xuhui Jiang Xuhui Jiang has 3 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Chengjin Xu](https://md.research.elamur.ai/free/en/authors/chengjin-xu/), [Jian Guo](https://md.research.elamur.ai/free/en/authors/jian-guo/), [Cehao Yang](https://md.research.elamur.ai/free/en/authors/cehao-yang/). 3 papers in our library · 2026 [OpenAlex](https://openalex.org/A5091865553) · [ORCID](https://orcid.org/0000-0002-1741-0781) · [Wikidata](https://www.wikidata.org/wiki/Q130822920) · [**h-index 9**](https://openalex.org/authors/A5091865553) · [40 works](https://openalex.org/works?filter=author.id:A5091865553) · [426 citations](https://openalex.org/works?filter=author.id:A5091865553&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/xuhui-jiang/#papers) · [🔗 Cited 3 times in our library](https://md.research.elamur.ai/free/en/authors/xuhui-jiang/cited-by/) · [⭐ Paper Stars ranking: #10673](https://md.research.elamur.ai/free/en/paper-stars/page/107/#star-10673) 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=Xuhui+Jiang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xuhui+Jiang) · [dblp](https://dblp.org/search?q=Xuhui+Jiang) · [ACL Anthology](https://aclanthology.org/search/?q=Xuhui+Jiang) ## Affiliations [🏛️**Chinese Academy of Sciences** Beijing · China 2020–2026 · 13 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Computing Technology** Beijing · China 2020–2026 · 13 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-of-computing-technology/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2020–2024 · 4 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) 🏛️**Institute of Computing Technology, Chinese Academy of Sciences** Beijing · [China](https://md.research.elamur.ai/free/en/countries/china/) Education From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 5 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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/xuhui-jiang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT Reasoning](https://md.research.elamur.ai/free/en/papers/yang-2026-select2reason-efficient-instruction-tuning-data/)** *(2026 · 4 citations)* Long chain-of-thought (long-CoT) reasoning can be instilled in LLMs cheaply by supervised fine-tuning on traces generated by strong reasoning models. 2. **[DataArc-SynData-Toolkit: A Unified Closed-Loop Framework for Multi-Path, Multimodal, and Multilingual Data Synthesis](https://md.research.elamur.ai/free/en/papers/shi-2026-dataarc-syndata-toolkit-unified-closed/)** *(2026)* Synthetic data can ease data shortages for LLMs in specialised domains and low-resource languages, but current tools tend to be hard for non-experts, rely on inconsistent data formats, and handle extra modalities or languages poorly. 3. **[JudgeAgent: Beyond Static Benchmarks for Knowledge-Driven and Dynamic LLM Evaluation](https://md.research.elamur.ai/free/en/papers/shi-2026-judgeagent-beyond-static-benchmarks-knowledge/)** *(2026)* Static benchmarks for LLMs saturate quickly, cover a fixed slice of knowledge, risk contamination, and pose questions whose difficulty may not suit the model under test. ## Co-authors here 11 co-authors with a page, the most papers together first. - [Chengjin Xu](https://md.research.elamur.ai/free/en/authors/chengjin-xu/) ×3 - [Jian Guo](https://md.research.elamur.ai/free/en/authors/jian-guo/) ×3 - [Cehao Yang](https://md.research.elamur.ai/free/en/authors/cehao-yang/) ×2 - [Xiaojun Wu](https://md.research.elamur.ai/free/en/authors/xiaojun-wu/) ×2 - [Yuanzhuo Wang](https://md.research.elamur.ai/free/en/authors/yuanzhuo-wang/) ×2 - [Zhichao Shi](https://md.research.elamur.ai/free/en/authors/zhichao-shi/) ×2 - [Hao Zhou](https://md.research.elamur.ai/free/en/authors/hao-zhou/) - [Hui Xiong](https://md.research.elamur.ai/free/en/authors/hui-xiong/) - [Shengjie Ma](https://md.research.elamur.ai/free/en/authors/shengjie-ma/) - [Xueyuan Lin](https://md.research.elamur.ai/free/en/authors/xueyuan-lin/) - [Zixuan Li](https://md.research.elamur.ai/free/en/authors/zixuan-li/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ## Cited by Papers of our library cite their works 3 times (of the 149,439 papers whose bibliographies we read); [2 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xuhui-jiang/cited-by/). Updated 1 November 2026