Simulating Macroeconomic Expectations in Survey Experiments with LLM-based Economic Agents
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Med-V1: Small Language Models for Zero-shot and Scalable Biomedical Evidence Attribution
Information-Theoretic Lower Bounds for Bit-Constrained Stochastic Optimization via a Redu…
SORA: Free Second-Order Attacks in Fast Adversarial Training
On the Evaluation of Spiking Neural Network Configurations for Network Intrusion Detection
A Survey of 3D Reconstruction with Event Cameras
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Behavior-Invariant Task Representation Learning with Transformer-based World Models for O…
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Ideas in Inference-time Scaling can Benefit Generative Pre-training Algorithms
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Efficient LLM Moderation with Multi-Layer Latent Prototypes
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Introduction to Graph Neural Networks for Machine Learning Engineers
MViewRouter: Internalizing Geometric Equivariance via Multi-view Alternating Attention fo…
Implicit Drifting Policy: One-Step Action Generation via Conditional Expert Geometry
AMP: A Vendor-Neutral Wire Format for Agent Memory Operations
Self-supervised Monocular Depth and Pose Estimation for Endoscopy with Latent Priors
Rethinking Evaluation Paradigms in IBP-based Certified Training
Implicit Regularization for Multi-label Feature Selection