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Even state-of-the-art language models struggle with exploration and exploitation in complex decision-making tasks, but minimal harness engineering can significantly improve performance.
Pruning vision tokens across both the ViT and LLM can yield a 62% efficiency boost in video VLMs with minimal performance loss, and without complex text conditioning.
