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Naively applying RL to code generation models can *hurt* cross-language transfer, but a clever pre-training trick using "parallel programs" unlocks better generalization.
Achieve better image compression without sacrificing quality by adapting diffusion models to image content using uncertainty-guided quantization and bitrate-free textual conditioning.
