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Forget multiple forward passes: this reward model scores all candidate responses at once, unlocking massive speedups and better comparative reasoning.
Forget training on closed sets: WildDet3D leverages geometric cues and diverse prompts to achieve SOTA 3D object detection across 13.5K categories in the wild.
Ditch the coordinate system: VLMs can point *way* better by directly selecting visual tokens, leading to SOTA results and improved sample efficiency.
Ditch slow, external segmentation pipelines: TrajTok learns trajectory tokens end-to-end, boosting video understanding while staying lean and adaptable.