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

22 October 2024

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

6 / 6 papers shown

Title
Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data? Grgur Kovač Jérémy Perez Rémy Portelas Peter Ford Dominey Pierre-Yves Oudeyer 30 0 0 04 Apr 2025
We Need Improved Data Curation and Attribution in AI for Scientific Discovery Mara Graziani Antonio Foncubierta Dimitrios Christofidellis Irina Espejo Morales Malina Molnar Marvin Alberts Matteo Manica Jannis Born 36 0 0 03 Apr 2025
TIMER: Temporal Instruction Modeling and Evaluation for Longitudinal Clinical Records Hejie Cui Alyssa Unell Bowen Chen Jason Alan Fries Emily Alsentzer Sanmi Koyejo N. Shah 72 0 0 06 Mar 2025
Position: Model Collapse Does Not Mean What You Think Rylan Schaeffer Joshua Kazdan Alvan Caleb Arulandu Sanmi Koyejo 49 0 0 05 Mar 2025
Universality of the $π^2/6$ Pathway in Avoiding Model Collapse Apratim Dey D. Donoho 44 5 0 30 Oct 2024
ZIP-FIT: Embedding-Free Data Selection via Compression-Based Alignment Elyas Obbad Iddah Mlauzi Brando Miranda Rylan Schaeffer Kamal Obbad Suhana Bedi Sanmi Koyejo CVBM 42 0 0 23 Oct 2024