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Junlin Wang

Junlin Wang has 2 papers in our library, in 2019–2024; often with Ben Athiwaratkun, Ce Zhang, Eric Wallace.

2 papers in our library · 2019–2024

OpenAlex · ORCID · h-index 20 · 131 works · 1,276 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 157 times in our library · ⭐ Paper Stars ranking: #5567

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

🎓Guangdong University of TechnologyGuangzhou · China2022–2026 · 16 paperscurrent🎓Southwest University of Science and TechnologyMianyang · China2024–2026 · 6 paperscurrent🎓Hebei University of TechnologyTianjin · China2023–2026 · 4 paperscurrent🎓Nanjing Forestry UniversityNanjing · China2025–2026 · 2 paperscurrent🎓University of Chinese Academy of SciencesBeijing · China2024–2026 · 2 paperscurrent🎓Kunming University of Science and TechnologyKunming · China2026 · 1 papercurrent🎓Nanjing Medical UniversityNanjing · China2026 · 1 papercurrent🤝National Center for Nanoscience and TechnologyBeijing · China2026 · 1 papercurrent🎓Southwest Petroleum UniversityChengdu · China2026 · 1 papercurrent🎓Nanjing UniversityNanjing · China2017–2025 · 24 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 34 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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

 Works by year

2020s

20241 paper

2010s

20191 paper

 Papers

The most cited first (OpenAlex and our library).

  1. AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models (2019 · 182 citations)
    Neural NLP models are accurate but opaque. Most available explanation code is built for computer vision, tied to a single model or task, or covers only a few techniques, so practitioners rarely use it and researchers struggle to test their methods across systems. The authors present AllenNLP Interpret, an open-source…
  2. Mixture-of-Agents Enhances Large Language Model Capabilities (2024 · 116 citations)
    Different LLMs have complementary strengths, but scaling any single model further is very expensive. This paper asks whether several existing models can be combined to beat each of them individually. The authors first describe a property they call collaborativeness: a model usually writes a better answer when it can…

 Co-authors here

8 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 157 times (of the 149,439 papers whose bibliographies we read); 35 citing papers with a page here →.

Updated

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