Conceptio › Archive › arXiv (All)
arXiv (All) open access

No Model Required: Text Entropy Rate Filtering Mitigates Iterative Fine-Tuning Collapse

Mitchell, Lewis
arXiv (All) · Papers
Open Source ↗Direct PDF ↓
computation-and-languagedata-analysisinformation-theorystatistics-and-probability
Iterative fine-tuning on synthetic data causes \emph{model collapse}: output diversity narrows as rare patterns are progressively lost, a signature most visible as phrase-level repetition. Existing mitigations either require model log-probabilities, an external oracle, or continued access to real hu
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1156765
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive