Llama Boosts Multimodal Performance by 30% with Diffusion's Attention Distribution

Boost Llama-3.2's multimodal performance by 30% with Stable Diffusion’s attention distribution. Achieve high accuracy with minimal data and training. Code and models open-sourced.

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This time, it's not about scaling parameters or computing power, but about scaling "cross-domain learning"—

Let Stable Diffusion be the teacher and teach multimodal large models (like Llama-3.2) how to "describe images"!

Performance surges by 30%.

The latest research from Chinese researchers in collaboration with the DeepMind team, "Lavender: Diffusion Instruction Tuning", achieves a 30% performance boost in multimodal question-answering tasks for models like Llama-3.2, using just 1 day of training and 2.5% of the regular data volume. It even prevents "specialization" (68% improvement in out-of-distribution medical tasks).

Moreover, the code, model, and training data will all be open-sourced!