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Evolving contexts can transform the stability and effectiveness of on-policy distillation, leading to superior performance in open-ended tasks.
Dynamic identity memory and large-scale counterfactual self-supervision enable Argus to outperform previous methods in subject-preserving video generation, achieving unprecedented robustness against occlusion and viewpoint changes.
Ditching text-based chain-of-thought unlocks better audio-visual reasoning by interleaving textual steps with a unified latent space that preserves dense sensory information.
Stop reinventing the wheel: OpenWorldLib offers a unified framework and codebase for advanced world models, finally bringing standardization to a fragmented field.
