Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data. - Matthias Gerstgrasser; Rylan Schaeffer; Apratim Dey; Rafael Rafailov; Henry Sleight; John Hughes; Tomasz Korbak; Rajashree Agrawal; Dhruv Pai; Andrey Gromov; Daniel A. Roberts; Diyi Yang; et al. (CoRR, 2024)

DeTox: Toxic Subspace Projection for Model Editing. - Rheeya Uppaal; Apratim Dey; Yiting He; Yiqiao Zhong; Junjie Hu 001 (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)

Universality of the π2/6 Pathway in Avoiding Model Collapse. - Apratim Dey; David L. Donoho (CoRR, 2024)

Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity. - Rheeya Uppaal; Apratim Dey; Yiting He; Yiqiao Zhong; Junjie Hu 001 (ICLR, 2025)

Optimal Vector Compressed Sensing Using James Stein Shrinkage. - Apratim Dey; David L. Donoho (CoRR, 2025)