Deep Learning
New computational algorithms make it possible to build neural networks with many input nodes and many layers, and distinguish "deep learning" of these networks from previous work on artificial neural nets.
Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms
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Modern vision models are trained on very large noisy datasets.
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Localized Zeroth-Order Prompt Optimization
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To answer these questions, we provide a thorough empirical study on prompt optimization.
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Toward Conditional Distribution Calibration in Survival Prediction Shi-ang Qi1, Y akun Y u
Neural Information Processing Systems
This method effectively improves the model's marginal and conditional calibration,
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Large Language Models Must Be Taught to Know What They Don't Know
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"I have high cortisol but low ACTH on a dexamethasone suppression test.
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