Papers

Filtered to flow matching models · clear filter

Browse by term

continual learning 83reinforcement learning 50large language models 12benchmarking 11benchmarks 11language models 11vision-language models 11robotics 7natural language processing 6world models 6generative models 5recursive self-improvement 5attention mechanisms 4diffusion Transformers 4multi-agent systems 4multimodal learning 4multimodal models 4on-policy distillation 4self-distillation 4self-supervised learning 4transformers 4video generation 4vision-language-action models 4agent-based systems 3agentic models 3agentic search 3autonomous systems 3coding agents 3diffusion models 3image generation 3

Matching papers

Self-OPD: On-Policy Distillation for Flow Matching Models without Teacher

73 upvotes · 27 AUG 2026 · Shiyi Zhang, Mushui Liu, Yunze Tong et al.

This paper introduces a new method for training flow matching models called Self-OPD, which uses the model's own exploration to generate supervisory signals without needing a separate teacher model. Practitioners may care because it could lead to more efficient and effective training of flow matching models.

flow matching modelson-policy distillationcontinual learningreinforcement learningnormalization