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Self-distillation can be more effective than learning from an external teacher, but only if you optimize for preference gaps instead of blindly matching the teacher's output distribution.
Ditch the complex multimodal pre-training pipelines: GenLIP proves a simple language modeling objective can effectively align vision encoders with LLMs, achieving strong performance with less data.
