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Ditch the likelihood approximations: LFPO directly optimizes denoising logits in diffusion LMs via contrastive updates, leading to faster inference and better code/reasoning performance.
LLMs learn faster and perform better when you optimize prompts and weights together, boosting performance by 30% and cutting interaction turns by 40%.
