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Chengyu Wang

Chengyu Wang has 3 papers in our library, in 2025–2026, most of them on Language models & pretraining, Question answering, Reasoning; often with Jun Huang, Yuanjie Lyu, Lei Shen.

3 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 22 · 192 works · 1,891 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 41 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #9881

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢Alibaba GroupHangzhou · China2020–2026 · 106 paperscurrent🎓East China Normal UniversityShanghai · China2011–2024 · 42 papers🔬Shanghai Key Laboratory of Trustworthy ComputingShanghai · China2015–2017 · 9 papers🎓National University of Defense TechnologyChangsha · China2023–2025 · 5 papers🔬Zhejiang LabHangzhou · China2021–2022 · 3 papers🔬Nuclear Power Institute of ChinaChengdu · China2025 · 2 papers🎓Shenzhen UniversityShenzhen · China2021–2022 · 2 papers

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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 work

🧭 Topics 3Research subjects and languages the work is about.Question answering · 1 workReasoning · 1 workLanguage models & pretraining · 2 works

 Works by year

2020s

20262 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering (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 (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 (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 ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetZhen-Ru Zhang et al.2023 · 112 citations
  2. A Short Survey on Taxonomy Learning from Text Corpora: Issues, Resources and Recent Advances ↗Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yetChengyu Wang, Xiaofeng He, Aoying Zhou2017 · 87 citations
  3. BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question AnsweringAnnual Meeting of the Association for Computational Linguistics (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 RewardsAnnual Meeting of the Association for Computational Linguistics (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 UseAnnual Meeting of the Association for Computational Linguistics (ACL)Yuanjie Lyu, Chengyu Wang, Haonan Zheng, et al.2026
  6. AMATA: Adaptive Multi-Agent Trajectory Alignment for Knowledge-Intensive Question Answering ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetTaolin Zhang et al.2026
  7. QueueEDIT: Structural Self-Correction for Sequential Model Editing in LLMs ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetTaolin Zhang et al.2026
  8. Taming “Zombie” Agents: A Markov State-Aware Framework for Resilient Multi-Agent Evolution ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetTaolin Zhang et al.2026

 Co-authors here

7 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 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 →.

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