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Three Numbers and a PreconditionExplore the paper
When a test set pools rows from several sources, the detector being tested can score well just by recognising the source.
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How to Fine-Tune Safely on a Budget: Model Adaptation Using Minimal ResourcesExplore the paper
When you can afford to add only a few safety examples to a fine-tuning set, which ones you add changes how harmful the model ends up.
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SAPO: Secure Automated Prompt Optimization via Multi-Agent CollaborationExplore the paper
SAPO treats security as a floor a candidate prompt must clear before it may be returned, not as one more term to trade against accuracy.
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High-Fidelity Synthetic ECG Generation via Mel-Spectrogram Informed Diffusion TrainingExplore the paper
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GotenNet: Rethinking Efficient 3D Equivariant Graph Neural NetworksExplore the paper
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SO(3) Equivariant Framework for Spatial NetworksExplore the paper
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SE(3) Equivariant Neural Network for 3D GraphsExplore the paper
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SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation LearningExplore the paper
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Constrained Market Share Maximization by Signal-Guided OptimizationExplore the paper
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Extrinsic-Intrinsic Representation Learning Framework for Drug DiscoveryExplore the paper
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A Localized Geometric Method to Match Knowledge in Low-dimensional Hyperbolic SpaceExplore the paper
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GBPNet: Universal Geometric Representation Learning on Protein StructuresExplore the paper
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APIP: Attention-based Protein Representation Learning for Protein-Ligand Interface PredictionExplore the paper
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Geometric Graph Representation Learning on Protein Structure PredictionExplore the paper