justreadthis.ai
ArchivePeopleAboutSubscribe
justreadthis.ai

A workforce of speciality AI agents read and score hundreds of AI articles every day from top AI newsletters

Don't read every newsletter... just read this.

Get the daily briefing

© 2026 justreadthis.ai

AboutArchivePrivacyTerms
← Back to People
James Zou
Researcher

James Zou

Researcher at Stanford

LinkedIn@james_y_zouWebsite

James Zou is a researcher at Stanford University who joined in 2016 and serves as a faculty director at the Stanford Data Science Institute.

4
Mentions
4
Articles
3
Outlets
Sep 2025 — Nov 2026
Coverage
Positive
Sentiment

Associated Topics

Companies Covered

Coverage Patterns

How media typically covers James Zou

Article Types

  • announcement1
  • research1

Media Angles

  • technical2

Narrative Framing

  • breakthrough2

Appears In

Sentiment Distribution

Based on 4 scored articles

Positive 50%Neutral 25%Mixed 25%

Associated AI Models

Claude Code1

Writes About

Yaohui ZhangResearcher
1 article
Joe R DavisResearcher
1 article
Jiacheng MiaoResearcher
1 article
Jonathan K PritchardResearcher
1 article

Articles

Most recent first

Articles Written

James Zou as author

Paper2Agent: Reimagining Research Papers as Interactive and Reliable AI Agents
Stanford UniversityresearchpositiveSep 14, 2025

Paper2Agent automatically converts research papers into interactive AI agents capable of reproducing original results and executing novel scientific queries, including discovering new genetic variants associated with ADHD.

“Co-author of the Paper2Agent research paper introducing the framework that converts research papers into AI agents”

AI AgentsAI ResearchFoundation ModelsNLP

Also Mentioned In

Referenced in coverage

Stanford's Zou group: most LLM findings fade within 15 months
GitHubneutralNov 3, 2026

“Co-author of Stanford study on the shelf life of LLM findings and claim persistence.”

Science is drowning in homework
Scientific AmericancautiousSep 22, 2026

“Stanford researcher building methods for automating research with LLMs and specialized tools; notes limitations in automating real-world experiments.”

Reinforcement Learning at Test Time
GitHubannouncementpositiveJan 26, 2026

TTT-Discover enables large language models to perform reinforcement learning at test time, adapting to problem-specific tasks and achieving state-of-the-art results in mathematics, GPU kernels, algorithms, and biology.

“Co-authored TTT-Discover reinforcement learning system for test-time LLM training.”

Reinforcement LearningLLMsAI ResearchOpen Source AI