Understanding Machine Unlearning Through the Lens of Mode Connectivity
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Noticias de IA
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How AI is expanding what people do at work
RODR: Riemannian Orthogonally Decoupled Regularization for Disentangled Manifold Represen…
DECAF: De-Clustering for Adaptive Representational Unlearning
Greedy dynamical meta-learning
DuoAD: Leveraging [CLS] Dual Characteristics for Training-Free Few-Shot Anomaly Detection
Understanding Tone-Dependent Inference Cost in Large Language Models
Are brain waves the next unlock for physical AI?
Research Report on Noise-Shaped One-Bit Coefficients in Discrete Polynomial Fourier Exten…
OmniCache: Multidimensional Hierarchical Feature Caching For Diffusion Models
Earnings25: A Comprehensive 500-Hour Speech Benchmark for Finance
From RLVR to RLSVR: Task Transformation Induces Self-Verifiable Rewards for Open-Ended LL…
PathScale-R1: Cross-scale Reasoning for Pathological Image Analysis
Maximum Satisfiability of Simple Temporal Problems
GNM Head: A Generative aNthropometric Model of the human head
Extending Desbordante with Probabilistic Functional Dependency Discovery Support
PathSelect: Sequential Token Selection for Whole Slide Pathology
Markerless Motion Capture in Routine Clinical Upper Limb Assessments: Validity and Insigh…
ConFusion: Continuous Fusion Space Learning for Fine-Grained Controllable Infrared and Vi…
Terence Tao: Mathematics in the Age of AI [pdf]
Anticipatory Risk-Guided Reinforcement Learning for Safe Flight Through Dynamic Clutter
Auditing Alignment Controllability in LLMs via Political Axes
Novel Claim or Déjà Vu? Rethinking "Contamination-Free'' Dynamic Evaluation for Multimoda…
Do Diagrams Help Large Language Models Reason? Evidence from Syllogistic Reasoning
Do LLMs Know Their Vulnerable Scenarios?
Learning Sampling Parameters for Diffusion Models
Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Rei…
What is happening to jobs? Separating AI hype from reality
Predict before you train: Scaling Laws for particle physics foundation models
Investigating the Visual Cues of CNNs for Vascular Segmentation: A Case Study in Microsco…