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Stop throwing away valuable trajectory data: a new agent can intelligently synthesize information from parallel agent rollouts, boosting performance on long-horizon tasks by up to 10%.
Image-conditioned video diffusion models can now be fine-tuned to produce more realistic motion dynamics and long-term temporal coherence via a novel reward-driven approach that avoids common pitfalls like reward hacking.
Off-the-shelf LLMs can get a 25% boost on long-context reasoning tasks simply by dynamically emphasizing relevant tokens during decoding, without any further training.
