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Counterfactual recoverability transforms how we approach error correction in on-policy distillation, leading to a staggering AUC of 1.000 compared to 0.392 with divergence alone.
CARGO-VL achieves a breakthrough in multimodal reliability by effectively managing conflicting evidence, leading to better decision-making in vision-language tasks.
Fourier decomposition of motion enables unprecedented accuracy in rendering dynamic scenes, tackling the limitations of traditional polynomial models.
