arXiv (All)
open access
Weaken to Strengthen: Weakening-Induced On-Policy Self-Distillation for Large Reasoning Models
Self-distillation offers a way to improve reasoning models when a suitable external teacher is unavailable. However, common approaches rely on privileged information to construct a stronger self-teacher, limiting their use when only unlabeled prompts are available. In this paper, we introduce Weaken
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
- How Should Teachers Be Prepared? RL on Student-Induced States for On-Policy Distillation#1200601
- MASS: Multi-mask Selective Self-Distillation for Leakage-Resilient Reasoning#1488946
- Diagnosing On-Policy Self-Distillation for Reasoning Language Models#1144085
- HEAL: Hindsight Entropy-Assisted Learning for Reasoning Distillation#819312
- HEAL: Hindsight Entropy-Assisted Learning for Reasoning Distillation#809319
Record · ID 1489751
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