--- title: "Shuo Tang — author profile and papers — Elamur Research" description: "Shuo Tang: 2 papers on Elamur Research (2025), h-index 2 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/shuo-tang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/shuo-tang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Shuo Tang # Shuo Tang Shuo Tang has 2 papers in our library, in 2025; often with [Rui Ye](https://md.research.elamur.ai/free/en/authors/rui-ye/), [Siheng Chen](https://md.research.elamur.ai/free/en/authors/siheng-chen/), [Yanfeng Wang](https://md.research.elamur.ai/free/en/authors/yanfeng-wang/). 2 papers in our library · 2025 [OpenAlex](https://openalex.org/A5017837728) · [ORCID](https://orcid.org/0009-0003-9430-3829) · [**h-index 2**](https://openalex.org/authors/A5017837728) · [5 works](https://openalex.org/works?filter=author.id:A5017837728) · [31 citations](https://openalex.org/works?filter=author.id:A5017837728&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/shuo-tang/#papers) · [🔗 Cited 26 times in our library](https://md.research.elamur.ai/free/en/authors/shuo-tang/cited-by/) · [⭐ Paper Stars ranking: #10382](https://md.research.elamur.ai/free/en/paper-stars/page/104/#star-10382) 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=Shuo+Tang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shuo+Tang) · [dblp](https://dblp.org/search?q=Shuo+Tang) · [ACL Anthology](https://aclanthology.org/search/?q=Shuo+Tang) ## Affiliations [🏛️**Chinese Academy of Sciences** Beijing · China 2022 · 2 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Psychology, Chinese Academy of Sciences** Beijing · China 2022 · 2 papers](https://ror.org/03j7v5j15) 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 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Information Systems and Management · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/information-systems-and-management/) ## Works by year ### 2020s [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/shuo-tang/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation](https://md.research.elamur.ai/free/en/papers/tang-2025-synthesizing-post-training-data-llms/)** *(2025 · 19 citations)* Post-training turns base LLMs into instruction followers, but it needs high-quality instruction data. Such data is expensive to annotate, scarce, and often limited by privacy. Existing synthetic approaches such as Self-Instruct, WizardLM and Magpie usually produce instructions that are not tied to any realistic user… 2. **[SciMaster: Towards General-Purpose Scientific AI Agents, Part I. X-Master as Foundation: Can We Lead on Humanity's Last Exam?](https://md.research.elamur.ai/free/en/papers/chai-2025-scimaster-towards-general-purpose-scientific/)** *(2025 · 13 citations)* The paper asks whether openly available models can reach top results on Humanity's Last Exam (HLE), a very hard expert-written benchmark that serves as a proxy for readiness to support scientific research. ## Co-authors here 10 co-authors with a page, the most papers together first. - [Rui Ye](https://md.research.elamur.ai/free/en/authors/rui-ye/) ×2 - [Siheng Chen](https://md.research.elamur.ai/free/en/authors/siheng-chen/) ×2 - [Yanfeng Wang](https://md.research.elamur.ai/free/en/authors/yanfeng-wang/) ×2 - [Jingyi Chai](https://md.research.elamur.ai/free/en/authors/jingyi-chai/) - [Linfeng Zhang](https://md.research.elamur.ai/free/en/authors/linfeng-zhang/) - [Tian Jin](https://md.research.elamur.ai/free/en/authors/tian-jin/) - [Weinan E](https://md.research.elamur.ai/free/en/authors/weinan-e/) - [Xianghe Pang](https://md.research.elamur.ai/free/en/authors/xianghe-pang/) - [Xiaowen Dong](https://md.research.elamur.ai/free/en/authors/xiaowen-dong/) - [Xinyu Zhu](https://md.research.elamur.ai/free/en/authors/xinyu-zhu/) ## 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 26 times (of the 149,439 papers whose bibliographies we read); [14 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shuo-tang/cited-by/). Updated 3 November 2026