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Wenke Lee

Wenke Lee has 2 papers in our library, in 2025–2026, most of them on Reasoning; often with Chunhui Zhang, Dachuan Shi, Soroush Vosoughi.

2 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 80 · 293 works · 27,292 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 11 times in our library · ⭐ Paper Stars ranking: #9846

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

🎓Georgia Institute of TechnologyAtlanta · United States2000–2026 · 242 papersEmployment since 2001current🎓North Carolina State UniversityRaleigh · United States1999–2002 · 13 papersEmployment 1999–2001🎓Columbia UniversityNew York · United States1996–2003 · 11 papersEducation
🏛️Intergraph1990–1994Employment 1990–1994
🎓City College of New YorkNew York · United StatesEducation🎓Sun Yat-sen UniversityGuangzhou · ChinaEducation

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

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

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Superficial Self-Improved Reasoners Benefit from Model Merging (2025 · 8 citations)
    Self-improvement, where a language model is fine-tuned on reasoning traces it generated itself, is often proposed as a remedy for scarce high-quality data.
  2. Behavior Knowledge Merge in Reinforced Agentic Models (2026 · 3 citations)
    The paper tackles how to combine several agents, each specialized through reinforcement learning (RL), into one generalist model without further training.

 Co-authors here

5 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 11 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated

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