4 papers across 3 sessions
We introduce a selector-extractor framework that extracts high-res features without ever seeing full high-res images to save compute.
AcuRank adaptively reranks documents using uncertainty, improving ranking accuracy with fewer LLM calls.
A framework that dynamically adjusts computational resources for robot controllers based on real-time task difficulty, reducing computation time by 2.6-4.4× while maintaining success rates, using the Stochastic Interpolant (SI) framework.