arXiv (OAI Expanded)
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ReDraft, Don't Just Distill: Reference-Driven Revision for Continual VLLM Post-Training
Continual post-training of large multimodal models should add new capabilities while preserving those from pre-training, and the two goals pull in opposite directions. SFT gives explicit target supervision that learns a task from near-zero accuracy, but its off-policy targets move the model far enou
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