Joshua Kazdan

According to our database, Joshua Kazdan authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track.

Rylan Schaeffer, Joshua Kazdan, Yegor Denisov-Blanch, Brando Miranda, Matthias Gerstgrasser, Susan Zhang, Andreas Haupt, Isha Gupta, Elyas Obbad, Jesse Dodge, Jessica Zosa Forde, Koustuv Sinha, Francesco Orabona, Sanmi Koyejo, David L. Donoho

CoRR, June, 2025

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models.

Rylan Schaeffer, Joshua Kazdan, Yegor Denisov-Blanch

CoRR, June, 2025

Sharpe Ratio-Guided Active Learning for Preference Optimization in RLHF.

Syrine Belakaria, Joshua Kazdan, Charles Marx, Chris Cundy, Willie Neiswanger, Sanmi Koyejo, Barbara E. Engelhardt, Stefano Ermon

CoRR, March, 2025

Position: Model Collapse Does Not Mean What You Think.

Rylan Schaeffer, Joshua Kazdan, Alvan Caleb Arulandu, Sanmi Koyejo

CoRR, March, 2025

No, of course I can! Refusal Mechanisms Can Be Exploited Using Harmless Fine-Tuning Data.

Joshua Kazdan, Lisa Yu, Rylan Schaeffer, Chris Cundy, Sanmi Koyejo, Dvijotham Krishnamurthy

CoRR, February, 2025

How Do Large Language Monkeys Get Their Power (Laws)?

Rylan Schaeffer, Joshua Kazdan, John Hughes, Jordan Juravsky, Sara Price, Aengus Lynch, Erik Jones, Robert Kirk, Azalia Mirhoseini, Sanmi Koyejo

CoRR, February, 2025

KGGen: Extracting Knowledge Graphs from Plain Text with Language Models.

Belinda Mo, Kyssen Yu, Joshua Kazdan, Proud Mpala, Lisa Yu, Chris Cundy, Charilaos I. Kanatsoulis, Sanmi Koyejo

CoRR, February, 2025

CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion.

Joshua Kazdan, Hao Sun, Jiaqi Han, Felix Petersen, Frederick Vu, Stefano Ermon

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

The Utility and Complexity of In- and Out-of-Distribution Machine Unlearning.

Youssef Allouah, Joshua Kazdan, Rachid Guerraoui, Sanmi Koyejo

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Collapse or Thrive? Perils and Promises of Synthetic Data in a Self-Generating World.

Joshua Kazdan, Rylan Schaeffer, Apratim Dey, Matthias Gerstgrasser, Rafael Rafailov, David L. Donoho, Sanmi Koyejo

CoRR, 2024

CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion.

Joshua Kazdan, Hao Sun, Jiaqi Han, Felix Petersen, Stefano Ermon

CoRR, 2024

2021

Spiders and their Kin: An Investigation of Stanley's Chromatic Symmetric Function for Spiders and Related Graphs.

Angèle M. Foley, Joshua Kazdan, Larissa Kröll, Sofía Martínez Alberga, Oleksii Melnyk, Alexander Tenenbaum

Graphs Comb., 2021