A recursive fine-tuning study claims quality filtering reverses model collapse, but the paper's own data show the filtered model only matched its starting score.
Beyond model collapse: Scaling up with synthesized data requires verification,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
REJECT 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
The Anti-Ouroboros Effect: Emergent Resilience in Large Language Models from Recursive Selective Feedback
A recursive fine-tuning study claims quality filtering reverses model collapse, but the paper's own data show the filtered model only matched its starting score.