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Yale University
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Rubric-Conditioned Self-Distillation transforms vague scalar rewards into precise, actionable feedback, leading to significant improvements in reasoning model performance.
Forget A100s for long-context LLMs – Salca achieves up to 74x better energy efficiency with a sparsity-aware hardware accelerator.
Forget entire image classes from your diffusion model faster and more efficiently with a targeted parameter update strategy.
