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This work introduces MAPLE (Memory-Augmented Planning with Language and Evolution), an agent for maintaining optimization problems through successive natural-language requests and introduces NLDO, a benchmark of 15 trajectories and 180 updates spanning selection, scheduling, rostering, routing, and cloud-resource place...
This work proposes Selective Prior Calibration (SPC), which subtracts candidate-level prior-preference estimates from image-conditioned scores with an instance-dependent strength and revises the original prediction only when the resulting score pattern strongly supports an alternative.
SentAttack is a sentence-level black-box adversarial attack method for DR models that outperforms existing adversarial attacks on DR models, with especially strong performance on low-ranked target documents.
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