Live-OPSD: On-Policy Self-Distillation for Proactive Streaming Large Video Models
Streaming multimodal assistants must make response decisions while events are still unfolding. They need to recognize when the available evidence warrants a response, produce an appropriate continuation, and remain silent otherwise. Supervised fine-tuning learns from recorded assistant turns, but does not directly train on the response prefixes produced by the evolving policy itself. We introduce Live-OPSD, an on-policy self-distillation method that uses privileged hints available only during training to supervise the policy on its own outputs. The policy first generates a continuation from the streaming context alone. The same model then re-evaluates that continuation with a hint describ...
| Authors | Kaixuan Du, Xin Wan, Dai Guan et al. |
|---|---|
| Primary category | cs.LG |
| Published | 27 October 2026 |
| Last updated at source | 27 October 2026 |
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