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TCR transforms LLM preference alignment by focusing on the reasoning process, leading to substantial improvements in model performance across diverse benchmarks.
Autoregressive image generation gets a spatial reasoning upgrade: CoR-Painter uses visual constraints derived from prompts to guide image synthesis, significantly improving spatial accuracy and reducing object overlap.
