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Justin Chen

Justin Chen has 4 papers in our library, in 2024–2026, most of them on Reasoning, Language models & pretraining, Vision & language; often with Mohit Bansal, Elias Stengel-Eskin, Swarnadeep Saha.

4 papers in our library · 2024–2026

OpenAlex · ORCID · Wikidata · h-index 18 · 120 works · 1,504 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 131 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #5885

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

🎓Midwestern UniversityDowners Grove · United States2017–2026 · 2 paperscurrent🏥UC Davis Comprehensive Cancer CenterSacramento2019–2020 · 7 papers🎓Weill Cornell MedicineNew York · United States2020–2023 · 6 papersEducation · Ph.D., PharmacologyEmployment · Associate Professor Pharmacology Research, Pharmacology🏥Memorial Sloan Kettering Cancer CenterNew York · United States2022–2023 · 3 papers🎓Cornell UniversityIthaca · United States2020–2021 · 3 papers🏥Texas Fertility CenterAustin · United States2022–2025 · 2 papers🎓Monash UniversityMelbourne · Australia2010–2020 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 17 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 · 4 worksArts and Humanities · 3 worksArtificial Intelligence · 4 worksComputer Vision and Pattern Recognition · 3 worksLanguage and Linguistics · 3 worksInformation Systems · 1 work

🧭 Topics 3Research subjects and languages the work is about.Reasoning · 3 worksLanguage models & pretraining · 2 worksVision & language · 1 work

 Works by year

2020s

20262 papers20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMs (2024 · 156 citations)
    Single-model reasoning methods such as self-reflection can get stuck repeating their own confident mistakes.
  2. MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning (2025 · 20 citations)
    Spending more inference compute on LLM reasoning by sampling many answers and voting eventually stops paying off.
  3. DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning (2026 · 1 citation)
    Debates between vision-language models (VLMs) often stall because the agents share similar perceptual blind spots and bring no new evidence.
  4. Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert Selection (2026)
    LLM routers choose which model in a pool should handle a given query. Most existing routers learn from human-labelled, in-domain data, which is often unavailable when real user traffic is varied and unpredictable. The authors propose Routing with Generated Data (RGD). In this setting, a generator LLM writes queries…

All works

6 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. ReConcile: Round-Table Conference Improves Reasoning via Consensus among Diverse LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Justin Chen, Swarnadeep Saha, Mohit Bansal2024 · 156 citations
  2. MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Justin Chen, Archiki Prasad, Swarnadeep Saha, et al.2025 · 20 citations
  3. Reverse Thinking Makes LLMs Stronger Reasoners ↗Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetJustin Chen et al.2025 · 18 citations
  4. MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration ↗Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetDavid Wan et al.2025 · 7 citations
  5. DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Nithin Sivakumaran, Justin Chen, David Wan, et al.2026 · 1 citation
  6. Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert SelectionAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyi Niu, Justin Chen, Genta Indra Winata, et al.2026

 Co-authors here

9 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 131 times (of the 149,439 papers whose bibliographies we read); 26 citing papers with a page here →.

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