arXiv (All)
open access
Flash-OPD: Fast On-Policy Distillation
On-policy distillation (OPD) provides dense teacher supervision on student-generated trajectories, but generating and evaluating long rollouts incurs substantial training cost. Existing acceleration methods reduce this cost through open-loop rollout schedules or closed-loop horizon adaptation. Howev
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
- Contrastive On-Policy Distillation#1143849
- REVO: Rollout-Efficient Off-Policy Distillation via Variance-Guided Reuse#1141822
- Verify Before You Distill: Prompt-Level Teacher Gating for On-Policy Distillation#925371
- Verify Before You Distill: Prompt-Level Teacher Gating for On-Policy Distillation#921135
- Teacher Should Think Ahead: Adaptive Continuations for Reliable On-Policy Distillation#1036937
Record · ID 1202524
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