Scholar
Joshua Kazdan
Google Scholar ID: 2qhIm78AAAAJ
PhD Candidate in Statistics, Stanford University
machine learning
AI
diffusion models
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Citations & Impact
All-time
Citations
66
H-index
5
i10-index
2
Publications
20
Co-authors
10
list available
Publications
14 items
How Strong Is the Evidence for the Artificial Hivemind? Reevaluating Evidence for the Open-Ended Homogeneity of Language Models
2026
Cited
0
Internal Data Repetition Destroys Language Models
2026
Cited
0
Quantifying the Effect of Test Set Contamination on Generative Evaluations
arXiv.org · 2026
Cited
0
Efficient Prediction of Pass@k Scaling in Large Language Models
2025
Cited
0
Understanding Adversarial Transfer: Why Representation-Space Attacks Fail Where Data-Space Attacks Succeed
2025
Cited
0
Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track
2025
Cited
0
Turning Down the Heat: A Critical Analysis of Min-p Sampling in Language Models
2025
Cited
0
Sharpe Ratio-Guided Active Learning for Preference Optimization in RLHF
2025
Cited
0
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Co-authors
8 total
Sanmi Koyejo
Assistant Professor, Stanford University
Rylan Schaeffer
Stanford University
David Donoho
Professor f Statistics, Stanford University
Rafael Mitkov Rafailov
Graduate Student, Stanford University
Apratim Dey
Stanford University
Stefano Ermon
Stanford University
Felix Petersen
Stanford University, University of Konstanz
Jiaqi Han
Stanford University
