Abstract: The few-shot object detection (FSOD) in remote sensing (RS) faces a fundamental challenge in balancing contextual feature learning with the representation stability. Current approaches ...
RULER (Relative Universal LLM-Elicited Rewards) eliminates the need for hand-crafted reward functions by using an LLM-as-judge to automatically score agent trajectories. Simply define your task in the ...
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