--- title: "Ming Wang · Alibaba Group — author profile and papers" description: "Ming Wang, Alibaba Group: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/ming-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/ming-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Ming Wang # Ming Wang Ming Wang has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Chengyu Wang](https://md.research.elamur.ai/free/en/authors/chengyu-wang/), [Daling Wang](https://md.research.elamur.ai/free/en/authors/daling-wang/), [Jun Huang](https://md.research.elamur.ai/free/en/authors/jun-huang/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5139806669) · [**h-index 0**](https://openalex.org/authors/A5139806669) · [2 works](https://openalex.org/works?filter=author.id:A5139806669) · [0 citations](https://openalex.org/works?filter=author.id:A5139806669&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/ming-wang/#papers) · [⭐ Paper Stars ranking: #12146](https://md.research.elamur.ai/free/en/paper-stars/page/122/#star-12146) 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=Ming+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ming+Wang) · [dblp](https://dblp.org/search?q=Ming+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Ming+Wang) ## Affiliations [🏢**Alibaba Group** Hangzhou · China 2026 · 1 paper*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. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 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/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Applied Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/applied-psychology/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Social Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/social-psychology/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/ming-wang/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[AgenticQwen: Training Small Agentic Language Models with Dual Data Flywheels for Industrial-Scale Tool Use](https://md.research.elamur.ai/free/en/papers/lyu-2026-agenticqwen-training-small-agentic-language/)** *(2026)* Industrial agent systems often run on large proprietary or open models, which costs too much at scale. Major labs rarely release small models with strong tool-use skills. This Alibaba paper presents AgenticQwen, a family of compact agents that use small Qwen models as their foundation. Their training relies on… 2. **[GenPT: Beyond Self-Report for Reliable LLM Psychometrics via Generative Projective Testing](https://md.research.elamur.ai/free/en/papers/wang-2026-genpt-beyond-self-report-reliable/)** *(2026)* Psychological profiling of persona-conditioned LLM agents (PC-Agents) usually relies on self-report questionnaires such as BFI, BDI or MBTI. ## Co-authors here 10 co-authors with a page, the most papers together first. - [Chengyu Wang](https://md.research.elamur.ai/free/en/authors/chengyu-wang/) - [Daling Wang](https://md.research.elamur.ai/free/en/authors/daling-wang/) - [Jun Huang](https://md.research.elamur.ai/free/en/authors/jun-huang/) - [Lu Lin](https://md.research.elamur.ai/free/en/authors/lu-lin/) - [Shi Feng](https://md.research.elamur.ai/free/en/authors/shi-feng/) - [Xiaocui Yang](https://md.research.elamur.ai/free/en/authors/xiaocui-yang/) - [Yifei Zhang](https://md.research.elamur.ai/free/en/authors/yifei-zhang/) - [Yuanhao Yue](https://md.research.elamur.ai/free/en/authors/yuanhao-yue/) - [Yuanjie Lyu](https://md.research.elamur.ai/free/en/authors/yuanjie-lyu/) - [Yuxin Chen](https://md.research.elamur.ai/free/en/authors/yuxin-chen/) ## 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 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 Updated 1 November 2026