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Query-grounded visual sampling can boost long video understanding in LVLMs by over 11% without the need for extensive training.
Skewed item distributions in recommendation systems can be tamed with a learnable non-uniform quantization, leading to better codebook utilization and more accurate generative recommendations.
Ditch the haystack: Tri-RAG structures external knowledge into logical triplets, slashing irrelevant context and boosting RAG's reasoning power.
