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)

CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion. - Joshua Kazdan; Hao Sun; Jiaqi Han; Felix Petersen; Stefano Ermon (CoRR, 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)

The Utility and Complexity of In- and Out-of-Distribution Machine Unlearning. - Youssef Allouah; Joshua Kazdan; Rachid Guerraoui; Sanmi Koyejo (ICLR, 2025)

CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion. - Joshua Kazdan; Hao Sun; Jiaqi Han; Felix Petersen; Frederick Vu; Stefano Ermon (ICLR, 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, 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, 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, 2025)

Position: Model Collapse Does Not Mean What You Think. - Rylan Schaeffer; Joshua Kazdan; Alvan Caleb Arulandu; Sanmi Koyejo (CoRR, 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, 2025)

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models. - Rylan Schaeffer; Joshua Kazdan; Yegor Denisov-Blanch (CoRR, 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; et al. (CoRR, 2025)