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Wenjie Ma

Wenjie Ma has 2 papers in our library, in 2025, most of them on Reasoning; often with Alejandro Cuadron, Charlie Snell, Dacheng Li.

2 papers in our library · 2025

OpenAlex · ORCID · h-index 7 · 19 works · 207 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 98 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #8435

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 California, BerkeleyBerkeley · United States2025–2026 · 5 paperscurrent🏛️Chinese Academy of Agricultural SciencesBeijing · China2022–2024 · 3 papers🔬Harbin Veterinary Research InstituteHarbin · China2022–2024 · 3 papers🎓Northwest A&F UniversityYangling · China2019–2022 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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).Computer Science · 2 worksArtificial Intelligence · 2 worksArts and Humanities · 1 workInformation Systems · 1 workComputer Vision and Pattern Recognition · 1 workLanguage and Linguistics · 1 work

🧭 Topics 1Research subjects and languages the work is about.Reasoning · 2 works

 Works by year

2020s

20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Reasoning Models Can Be Effective Without Thinking (2025 · 58 citations)
    Large reasoning models usually write a long chain of thought before answering, and this costs many tokens and adds latency.
  2. The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic Tasks (2025 · 41 citations)
    Large Reasoning Models (LRMs) such as o1, QwQ and DeepSeek-R1 perform well on static benchmarks. In agentic settings, however, they must keep choosing between acting in the environment and continuing to reason internally. The authors call this the Reasoning-Action Dilemma. They study "overthinking," where a model…

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. Reasoning Models Can Be Effective Without ThinkingarXiv:2504.09858Wenjie Ma, Jingxuan He, Charlie Snell, et al.2025 · 58 citations
  2. The Danger of Overthinking: Examining the Reasoning-Action Dilemma in Agentic TasksarXiv:2502.08235Alejandro Cuadron, Dacheng Li, Wenjie Ma, et al.2025 · 41 citations
  3. optimize_anything: A Universal API for Optimizing any Text Parameter ↗arXiv:2605.19633 · Proceedings of the ACM Conference on AI and Agentic Systems (CAIS 26), May 26-29, 2026, San Jose, CA, USA · no summary yetLakshya A Agrawal et al.2026 · 1 citation

 Co-authors here

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

 Cited by

Papers of our library cite their works 98 times (of the 149,439 papers whose bibliographies we read); 36 citing papers with a page here →.

Updated

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