--- title: "Chengyu Wang · Alibaba Group — author profile and papers" description: "Chengyu Wang, Alibaba Group: 3 papers on Elamur Research (2025–2026), h-index 22 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/chengyu-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chengyu-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Chengyu Wang # Chengyu Wang Chengyu Wang has 3 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Jun Huang](https://md.research.elamur.ai/free/en/authors/jun-huang/), [Yuanjie Lyu](https://md.research.elamur.ai/free/en/authors/yuanjie-lyu/), [Lei Shen](https://md.research.elamur.ai/free/en/authors/lei-shen/). 3 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5100373451) · [ORCID](https://orcid.org/0000-0003-1010-9678) · [Wikidata](https://www.wikidata.org/wiki/Q130801635) · [**h-index 22**](https://openalex.org/authors/A5100373451) · [192 works](https://openalex.org/works?filter=author.id:A5100373451) · [1,891 citations](https://openalex.org/works?filter=author.id:A5100373451&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/chengyu-wang/#papers) · [🔗 Cited 41 times in our library](https://md.research.elamur.ai/free/en/authors/chengyu-wang/cited-by/) · [5 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #9881](https://md.research.elamur.ai/free/en/paper-stars/page/99/#star-9881) 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=Chengyu+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Chengyu+Wang) · [dblp](https://dblp.org/search?q=Chengyu+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Chengyu+Wang) ## Affiliations [🏢**Alibaba Group** Hangzhou · China 2020–2026 · 106 papers*current*](https://md.research.elamur.ai/free/en/companies/alibaba-group/) · [🎓**East China Normal University** Shanghai · China 2011–2024 · 42 papers](https://md.research.elamur.ai/free/en/universities/east-china-normal-university/) · [🔬**Shanghai Key Laboratory of Trustworthy Computing** Shanghai · China 2015–2017 · 9 papers](https://ror.org/030qbr085) · [🎓**National University of Defense Technology** Changsha · China 2023–2025 · 5 papers](https://md.research.elamur.ai/free/en/universities/national-university-of-defense-technology/) · [🔬**Zhejiang Lab** Hangzhou · China 2021–2022 · 3 papers](https://md.research.elamur.ai/free/en/labs/zhejiang-lab/) · [🔬**Nuclear Power Institute of China** Chengdu · China 2025 · 2 papers](https://ror.org/01fz94q82) · [🎓**Shenzhen University** Shenzhen · China 2021–2022 · 2 papers](https://md.research.elamur.ai/free/en/universities/shenzhen-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 16 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).[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/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 3 Research subjects and languages the work is about.[Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [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/chengyu-wang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/chengyu-wang/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering](https://md.research.elamur.ai/free/en/papers/zhang-2025-belle-bi-level-multi-agent/)** *(2025 · 9 citations)* Multi-hop question answering requires collecting several pieces of evidence and chaining them together, but existing LLM-based approaches usually apply one fixed strategy to every question. 2. **[Mock Worlds, Real Skills: Building Small Agentic Language Models with Synthetic Tasks, Simulated Environments, and Rubric-Based Rewards](https://md.research.elamur.ai/free/en/papers/lyu-2026-mock-worlds-real-skills-building/)** *(2026 · 1 citation)* Small language models usually lag well behind large, expensive LLMs on agentic tool-use tasks. Reinforcement learning could help, but two obstacles hold it back. Public agentic datasets are narrow and often too easy, so RL rollouts give little learning signal. Real APIs are also costly, unstable and limited in scope.… 3. **[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… ## All works 8 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning ↗](https://aclanthology.org/2023.acl-short.107/) Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yet**Zhen-Ru Zhang et al.*2023 · 112 citations* 2. **[A Short Survey on Taxonomy Learning from Text Corpora: Issues, Resources and Recent Advances ↗](https://aclanthology.org/D17-1123/) Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yet**Chengyu Wang, Xiaofeng He, Aoying Zhou*2017 · 87 citations* 3. **[BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering](https://md.research.elamur.ai/free/en/papers/zhang-2025-belle-bi-level-multi-agent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Taolin Zhang, Dongyang Li, Qizhou Chen, et al.*2025 · 9 citations* 4. **[Mock Worlds, Real Skills: Building Small Agentic Language Models with Synthetic Tasks, Simulated Environments, and Rubric-Based Rewards](https://md.research.elamur.ai/free/en/papers/lyu-2026-mock-worlds-real-skills-building/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuanjie Lyu, Chengyu Wang, Lei Shen, et al.*2026 · 1 citation* 5. **[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/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuanjie Lyu, Chengyu Wang, Haonan Zheng, et al.*2026* 6. **[AMATA: Adaptive Multi-Agent Trajectory Alignment for Knowledge-Intensive Question Answering ↗](https://aclanthology.org/2026.acl-long.359/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Taolin Zhang et al.*2026* 7. **[QueueEDIT: Structural Self-Correction for Sequential Model Editing in LLMs ↗](https://aclanthology.org/2026.findings-acl.231/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Taolin Zhang et al.*2026* 8. **[Taming “Zombie” Agents: A Markov State-Aware Framework for Resilient Multi-Agent Evolution ↗](https://aclanthology.org/2026.acl-long.373/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Taolin Zhang et al.*2026* ## Co-authors here 7 co-authors with a page, the most papers together first. - [Jun Huang](https://md.research.elamur.ai/free/en/authors/jun-huang/) ×2 - [Yuanjie Lyu](https://md.research.elamur.ai/free/en/authors/yuanjie-lyu/) ×2 - [Lei Shen](https://md.research.elamur.ai/free/en/authors/lei-shen/) - [Ming Wang](https://md.research.elamur.ai/free/en/authors/ming-wang/) - [Taolin Zhang](https://md.research.elamur.ai/free/en/authors/taolin-zhang/) - [Tong Xu](https://md.research.elamur.ai/free/en/authors/tong-xu/) - [Yuanhao Yue](https://md.research.elamur.ai/free/en/authors/yuanhao-yue/) ## 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/) ×6: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - Findings of the Association for Computational Linguistics: ACL 2026 - Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing ## Cited by Papers of our library cite their works 41 times (of the 149,439 papers whose bibliographies we read); [10 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/chengyu-wang/cited-by/). Updated 1 November 2026