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Monash University
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Orthogonally constrained low-rank adapters produce dangerously overconfident predictions, but transporting ensemble particles directly along the Stiefel manifold via Stein variational inference recovers reliable calibration without sacrificing accuracy.
LLM-Detector achieves superior anomaly detection in tabular data without the need for fine-tuning, making it a game-changer for real-world applications.