When Privileged Guidance Misaligns: State-Matched Routing and Contextualized Self-Distillation for Multi-Turn Agents
arXiv cs.AIen
arXiv:2608.05219v1 Announce Type: new Abstract: Privileged on-policy distillation provides dense supervision for multi-turn agents by allowing a synchronized teacher to re-score the student's response at every turn with access to training-only references, such as successful trajectories. In interactive environments, however, the student's preceding actions continually change the execution state. As the student takes different actions or completes subgoals in a different order, its rollout may reach states not covered by the reference, making the reference an unreliable source of guidance for the state actually reached. Applying privileged distillation indiscriminately therefore creates state
This is a short summary published by AI Global Wire. The full article is owned and hosted by arXiv cs.AI — open it there to read it in full.
Read the full story at arXiv cs.AI- Verktyg
- Forskning
- Agenter
- Reglering
Related AI news
- 不用關掉 ChatGPT,Adobe 一口氣整合 70 項自家工具進 AITechNews (TW) · August 7, 2026
- Chinese AI firms push Hong Kong data center leasingTech in Asia · August 7, 2026
- Backed by DeepSeek, Unitree IPO tests investor appetite for China’s AI robotics boomSCMP Tech · August 7, 2026
- The Ignition Index: Measuring Global Workspace Dynamics in Language ModelsarXiv cs.AI · August 7, 2026
- Otter: A Time-Aware, History-Conditioned Human Chess AIarXiv cs.AI · August 7, 2026
- Project2Task: Graph-Guided Project-Level Planning for Autonomous ResearcharXiv cs.AI · August 7, 2026