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Mengyue Yang

Mengyue Yang has 2 papers in our library, in 2026, most of them on Reasoning; often with Chengwei Qin, Jiachen Zhu, Jianghao Lin.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 7 · 36 works · 437 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 31 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #11670

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

🎓University of BristolBristol · United Kingdom2024–2026 · 37 papersEmployment since 2024 · Academic , Lecturer in Artificial Intelligence, School of Engineering Mathematics and Technologycurrent🎓University College LondonLondon · United Kingdom2020–2026 · 20 paperscurrent🎓Beijing Wuzi UniversityBeijing · China2016–2018 · 3 papers🏢Huawei TechnologiesShenzhen · China2020–2021 · 2 papers

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 9The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksPsychology · 1 workArtificial Intelligence · 2 worksExperimental and Cognitive Psychology · 1 workInformation Systems · 1 workArts and Humanities · 1 workBusiness, Management and Accounting · 1 workLanguage and Linguistics · 1 workManagement Information Systems · 1 work

🧭 Topics 1Research subjects and languages the work is about.Reasoning · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. CreativeBench: Benchmarking and Enhancing Machine Creativity via Self-Evolving Challenges (2026 · 6 citations)
    Evolutionary code-generation systems such as AlphaEvolve aim to keep producing new artifacts. There is still no rigorous, automatic way to measure whether their outputs are actually creative rather than merely correct or hallucinated. The authors address this with CreativeBench, a code benchmark built on Boden's…
  2. A Comprehensive Survey of Process Reward Models: Data Generation, Model Construction, and Usage (2026)
    Reasoning alignment for LLMs has mostly relied on outcome reward models (ORMs). These judge only the final answer, so an extended chain of thought receives just one coarse signal. This survey covers Process Reward Models (PRMs), which score individual steps or whole trajectories. It frames the field as a cycle…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. ChessGPT: Bridging Policy Learning and Language Modeling ↗arXiv:2306.09200 · no summary yetXidong Feng et al.2023 · 34 citations
  2. CreativeBench: Benchmarking and Enhancing Machine Creativity via Self-Evolving ChallengesFindings of the Association for Computational LinguisticsZihan Wang, Lam Nguyen, Zhengyang Zhao, et al.2026 · 6 citations
  3. A Comprehensive Survey of Process Reward Models: Data Generation, Model Construction, and UsageAnnual Meeting of the Association for Computational Linguistics (ACL)Congmin Zheng, Jiachen Zhu, Zhuoying Ou, et al.2026

 Co-authors here

11 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 31 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

Updated

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