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EchoStyle achieves high-quality video stylization without the content leakage and style drift that plague existing methods, even outperforming many proprietary systems.
HydraHead achieves a remarkable 69% performance boost in long-context tasks by smartly hybridizing attention mechanisms at the head level, challenging conventional layer-wise designs.
LOGOS shows that a single generative model can outperform specialized systems across a range of scientific tasks, challenging the need for separate AI frameworks in the natural sciences.
SkillComposer enables language models to self-evolve skills in real-time, achieving up to +4.5 improvements on agent tasks compared to larger models.
Naturalness-based data selection, a common technique for curating LLM reasoning datasets, systematically favors longer, lower-quality reasoning chains due to a previously unnoticed "step length confounding" effect.