RI UFPE
metadata only
Does active sampling prevent textual degradation in recursive training?
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
- Libra: Taming Attention Workload Skew in Long-Context LLM Training with Bounded Sequence Pool#1014774
- Where Does Staleness Accumulate? Pool Aware Effective Staleness Control for Asynchronous RL in LLM Post-Training#1132031
- Recovering Off-Policy Supervision for Speculative Decoding#1143396
- Mentored Decoding: Faster Inference meets Boosting#1104673
- Sampling in Statistical Inference and Machine Learning#634954
Record · ID 654783
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
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
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive