--- title: "Shilong Li — author profile and papers — Elamur Research" description: "Shilong Li, Shanghai Jiao Tong University: 3 papers on Elamur Research (2024–2025), h-index 12 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/shilong-li/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/shilong-li/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Shilong Li # Shilong Li Shilong Li has 3 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/), [Yancheng He](https://md.research.elamur.ai/free/en/authors/yancheng-he/), [Hui Huang](https://md.research.elamur.ai/free/en/authors/hui-huang/). 3 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5100725235) · [ORCID](https://orcid.org/0009-0005-7538-1754) · [**h-index 12**](https://openalex.org/authors/A5100725235) · [64 works](https://openalex.org/works?filter=author.id:A5100725235) · [322 citations](https://openalex.org/works?filter=author.id:A5100725235&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/shilong-li/#papers) · [🔗 Cited 63 times in our library](https://md.research.elamur.ai/free/en/authors/shilong-li/cited-by/) · [⭐ Paper Stars ranking: #8586](https://md.research.elamur.ai/free/en/paper-stars/page/86/#star-8586) 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=Shilong+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shilong+Li) · [dblp](https://dblp.org/search?q=Shilong+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Shilong+Li) ## Affiliations [🎓**Shanghai Jiao Tong University** Shanghai · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🎓**Northeastern University** Shenyang · China 2008–2024 · 9 papers](https://md.research.elamur.ai/free/en/universities/northeastern-university-cn/) · [🎓**Beijing University of Posts and Telecommunications** Beijing · China 2023–2024 · 5 papers](https://md.research.elamur.ai/free/en/universities/beijing-university-of-posts-and-telecommunications/) · [🏢**Alibaba Group** Hangzhou · China 2024–2025 · 4 papers](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🎓**China University of Mining and Technology - Beijing** Beijing 2025 · 3 papers](https://ror.org/003ncxf91) · [🎓**Henan University** Kaifeng · China 2024–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/henan-university/) · [🎓**Jinling Institute of Technology** Jiangning · China 2023–2025 · 3 papers](https://ror.org/05em1gq62) · [🎓**Fujian Agriculture and Forestry University** Fuzhou · China 2024–2025 · 2 papers](https://ror.org/04kx2sy84) · [🎓**University of Electronic Science and Technology of China** Chengdu · China 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-electronic-science-and-technology-of-china/) · [🎓**Wuhan Institute of Technology** Wuhan · China 2006–2007 · 2 papers](https://ror.org/04jcykh16) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 13 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).[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 · 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.[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/) ## Works by year ### 2020s [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/shilong-li/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/shilong-li/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models](https://md.research.elamur.ai/free/en/papers/he-2024-chinese-simpleqa-chinese-factuality/)** *(2024 · 34 citations)* Hallucination remains a major weakness of large language models. Factuality is hard to measure when models produce long answers that mix many claims. OpenAI's SimpleQA addressed this with short fact-seeking questions, but it covers only English. Chinese SimpleQA is a Chinese counterpart: 3,000 short questions, each… 2. **[Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?](https://md.research.elamur.ai/free/en/papers/he-2025-can-large-language-models-detect/)** *(2025 · 30 citations)* Reasoning models in the o1 style produce very long chains of thought (CoT). Until this paper, there was no systematic way to check how good those chains are, or whether other models can find the mistakes in them. The authors built DeltaBench to address both gaps. It contains 1,236 problems from Math, Programming, PCB… 3. **[MuSC: Improving Complex Instruction Following with Multi-granularity Self-Contrastive Training](https://md.research.elamur.ai/free/en/papers/huang-2025-musc-improving-complex-instruction-following/)** *(2025 · 4 citations)* Large language models often fail on instructions that combine many constraints, frequently dropping some of them. ## Co-authors here 12 of 19 co-authors with a page, the most papers together first. - [Jiaheng Liu](https://md.research.elamur.ai/free/en/authors/jiaheng-liu/) ×3 - [Yancheng He](https://md.research.elamur.ai/free/en/authors/yancheng-he/) ×3 - [Hui Huang](https://md.research.elamur.ai/free/en/authors/hui-huang/) ×2 - [Weixun Wang](https://md.research.elamur.ai/free/en/authors/weixun-wang/) ×2 - [Xingyuan Bu](https://md.research.elamur.ai/free/en/authors/xingyuan-bu/) ×2 - [Bing Xu](https://md.research.elamur.ai/free/en/authors/bing-xu/) - [Bo Zheng](https://md.research.elamur.ai/free/en/authors/bo-zheng/) - [Boren Zheng](https://md.research.elamur.ai/free/en/authors/boren-zheng/) - [Conghui Zhu](https://md.research.elamur.ai/free/en/authors/conghui-zhu/) - [Ge Zhang](https://md.research.elamur.ai/free/en/authors/ge-zhang/) - [Hangyu Guo](https://md.research.elamur.ai/free/en/authors/hangyu-guo/) - [Muyun Yang](https://md.research.elamur.ai/free/en/authors/muyun-yang/) ## 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 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×2 ## Cited by Papers of our library cite their works 63 times (of the 149,439 papers whose bibliographies we read); [32 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shilong-li/cited-by/). Updated 2 November 2026