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TimeThink revolutionizes video reasoning by enabling models to pinpoint relevant temporal evidence with unprecedented accuracy, outperforming existing approaches.
Gradient explosions in token-level distillation are tamed by a novel normalization technique, leading to robust improvements in multimodal reasoning tasks.