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Forget multiple forward passes: this reward model scores all candidate responses at once, unlocking massive speedups and better comparative reasoning.
Open-source web agents can now outperform GPT-4o on key web navigation tasks, thanks to a new dataset and model family that levels the playing field.
Ditch the coordinate system: VLMs can point *way* better by directly selecting visual tokens, leading to SOTA results and improved sample efficiency.
Forget redrawing diagrams by hand: VFIG, a new vision-language model, can automatically convert rasterized figures into editable SVGs with near GPT-5.2 quality.
