Gerstgrasser, M, Schaeffer, R, Dey, A, Rafailov, R, Korbak, T, Sleight, H, Agrawal, R, Hughes, J, Pai, D B, Gromov, A, Roberts, D, Yang, D, Donoho, D L, and Koyejo, S. Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data. Retrieved from https://par.nsf.gov/biblio/10616583.

Gerstgrasser, M, Schaeffer, R, Dey, A, Rafailov, R, Korbak, T, Sleight, H, Agrawal, R, Hughes, J, Pai, D B, Gromov, A, Roberts, D, Yang, D, Donoho, D L, & Koyejo, S. Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data. Retrieved from https://par.nsf.gov/biblio/10616583.

Gerstgrasser, M, Schaeffer, R, Dey, A, Rafailov, R, Korbak, T, Sleight, H, Agrawal, R, Hughes, J, Pai, D B, Gromov, A, Roberts, D, Yang, D, Donoho, D L, and Koyejo, S. "Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data". Country unknown/Code not available: Conference on Language Modeling. https://par.nsf.gov/biblio/10616583.

@article{osti_10616583,
place = {Country unknown/Code not available}, title = {Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data}, url = {https://par.nsf.gov/biblio/10616583}, abstractNote = {}, journal = {}, publisher = {Conference on Language Modeling}, author = {Gerstgrasser, M and Schaeffer, R and Dey, A and Rafailov, R and Korbak, T and Sleight, H and Agrawal, R and Hughes, J and Pai, D B and Gromov, A and Roberts, D and Yang, D and Donoho, D L and Koyejo, S}, }