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Reasoning across languages doesn't have to break the bank: a new framework slashes token costs by over 50% while maintaining accuracy, especially boosting performance in low-resource languages.
Video-ToC drastically improves video understanding by forcing Video LLMs to focus on relevant visual cues, leading to state-of-the-art performance and reduced hallucinations.
Amodal SAM unlocks zero-shot amodal segmentation by adapting the Segment Anything Model (SAM) to infer complete object shapes, even in the presence of occlusions.
Stop treating human motion as a series of discrete actions: TranCLR learns smoother, more accurate skeleton representations by explicitly modeling the continuous transitions between actions.
