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researcher

J. Chen

27 papers hereh-index 10988 citations28 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author8
  • middle author18

Across the 26 of 27 papers where every author was matched, so the position is known.

fields
  • cs.CL14
  • cs.AI7
  • cs.LG4
  • cs.DS1
  • cs.SE1
same name
  • J. Chen — 399 papers, h 44
  • J. Chen — 187 papers
  • J. Chen — 150 papers, h 53
  • J. Chen — 131 papers, h 26
  • J. Chen — 101 papers, h 66
  • J. Chen — 46 papers, h 47

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedMedGemma Technical Report

41 citations · 60 across the 25 of their papers we have counts for

collaborators
Showing 2026 · cs.AIShow all

4 papers · 2 filters

cs.AI2026

TeleTune: Evolving Agent Skills From Offline Telemetry

Justin Chih-Yao Chen, Elias Stengel-Eskin, Yan Chen +6

Computer-use agents need to capture procedural knowledge of how people use software. User telemetry offers a scalable source of this knowledge. However, learning reusable skills fr…

cs.AI2026

Accelerating Scientific Research with Gemini in the Real-World

Samuel Schmidgall, Xiaokai Zhu, Marian Shaw +32

We present an extension and comprehensive real-world validation of Co-Scientist, a Gemini-based multi-agent system designed to accelerate end-to-end scientific research across hypo…

cs.AI2026

ResidencyRL: Reinforcement Learning in Simulated Clinical Environments

Valentin Liévin, Samuel Schmidgall, Tim Strother +32

In medical education, physicians convert academic knowledge into clinical expertise through residency: years of training across thousands of encounters, with diverse sources of fee…

cs.AI2026

A History-Aware Visually Grounded Critic for Computer Use Agents

Jaewoo Lee, Zaid Khan, Archiki Prasad +7

Various test-time interventions for Computer Use Agents (CUAs), including critic models, have been developed to improve performance through pre-execution action evaluation in compl…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.