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Shanghai Jiao Tong University
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Allocating rollout budgets based on state informativeness allows LLM agents to achieve superior performance in complex decision-making tasks without increasing computational costs.
Forget fine-tuning: expert-guided LLM agents can unlock vast troves of scientific data buried in unstructured papers with surprising accuracy.
Forget hand-tuning: VisPCO automatically finds optimal visual token pruning configurations in VLMs, outperforming predefined strategies across diverse benchmarks.
