--- title: "Shenzhi Wang · Alibaba Group — author profile and papers" description: "Shenzhi Wang, Alibaba Group: 3 papers on Elamur Research (2025–2026), h-index 2 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/shenzhi-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/shenzhi-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Shenzhi Wang # Shenzhi Wang Shenzhi Wang has 3 papers in our library, in 2025–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Chang Gao](https://md.research.elamur.ai/free/en/authors/chang-gao/), [Chujie Zheng](https://md.research.elamur.ai/free/en/authors/chujie-zheng/), [Le Yu](https://md.research.elamur.ai/free/en/authors/le-yu/). 3 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5139733399) · [**h-index 2**](https://openalex.org/authors/A5139733399) · [3 works](https://openalex.org/works?filter=author.id:A5139733399) · [13 citations](https://openalex.org/works?filter=author.id:A5139733399&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/shenzhi-wang/#papers) · [🔗 Cited 191 times in our library](https://md.research.elamur.ai/free/en/authors/shenzhi-wang/cited-by/) · [⭐ Paper Stars ranking: #6325](https://md.research.elamur.ai/free/en/paper-stars/page/64/#star-6325) 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=Shenzhi+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shenzhi+Wang) · [dblp](https://dblp.org/search?q=Shenzhi+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Shenzhi+Wang) ## Affiliations [🏢**Alibaba Group** Hangzhou · China 2025–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 4 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/) 🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 3 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/shenzhi-wang/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/shenzhi-wang/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2025-80-20-rule-high-entropy/)** *(2025 · 152 citations)* Reinforcement Learning with Verifiable Rewards (RLVR) is now a standard way to improve LLM reasoning. However, it is unclear which generated tokens are responsible for the gains. The authors study this question through token entropy in Chain-of-Thought outputs. They find that most tokens are produced with low… 2. **[Absolute Zero: Reinforced Self-play Reasoning with Zero Data](https://md.research.elamur.ai/free/en/papers/zhao-2025-absolute-zero-reinforced-self-play/)** *(2025 · 57 citations)* Current "zero" RLVR methods skip human-written reasoning traces, but they still train on large human-curated sets of questions and answers. 3. **[Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models](https://md.research.elamur.ai/free/en/papers/wang-2026-outcome-accuracy-is-not-enough/)** *(2026 · 3 citations)* Generative reward models (GenRMs) and LLM-as-a-Judge systems are usually trained and evaluated only on whether they pick the preferred response. ## Co-authors here 12 of 24 co-authors with a page, the most papers together first. - [Chang Gao](https://md.research.elamur.ai/free/en/authors/chang-gao/) ×2 - [Chujie Zheng](https://md.research.elamur.ai/free/en/authors/chujie-zheng/) ×2 - [Le Yu](https://md.research.elamur.ai/free/en/authors/le-yu/) ×2 - [Shixuan Liu](https://md.research.elamur.ai/free/en/authors/shixuan-liu/) ×2 - [An Yang](https://md.research.elamur.ai/free/en/authors/an-yang/) - [Andrew Zhao](https://md.research.elamur.ai/free/en/authors/andrew-zhao/) - [Binghai Wang](https://md.research.elamur.ai/free/en/authors/binghai-wang/) - [Gao Ming Huang](https://md.research.elamur.ai/free/en/authors/gao-ming-huang/) - [Kai Dang](https://md.research.elamur.ai/free/en/authors/kai-dang/) - [Qi Zhang](https://md.research.elamur.ai/free/en/authors/qi-zhang/) - [Qingyun Wu](https://md.research.elamur.ai/free/en/authors/qingyun-wu/) - [Rui Lu](https://md.research.elamur.ai/free/en/authors/rui-lu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/) ×2: [NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/) ×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 191 times (of the 149,439 papers whose bibliographies we read); [68 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shenzhi-wang/cited-by/). Updated 2 November 2026