Decoupling Semantics from Distortions: Multi-Scale Two-Stream Vision-Language Alignment f…
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Noticias de IA
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Decision-Weighted Flow Matching for Contextual Stochastic Optimization
P3B3: A Multi-Turn Conversational Benchmark for Measuring European and Brazilian Portugue…
Can Artificial Intelligence Accelerate Technological Progress? Researchers' Perspectives …
SPI: Query-Depth-Adaptive Indexing for Streaming RAG in Vector Databases
The Importance of Phase in Neural Representations: An Internal Oppenheim-Lim Test of Imag…
FusionRS: A Large-Scale RGB-Infrared Remote Sensing Dataset for Dual-Modal Vision-Languag…
CycliST: A Video Language Model Benchmark for Reasoning on Cyclical State Transitions
AL-GNN: Privacy-Preserving and Replay-Free Continual Graph Learning via Analytic Learning
Do You Really Need a GPU to Guard Your LLM? CPU-Class Classifiers and Multi-Stage Pipelin…
TokenPilot: Cache-Efficient Context Management for LLM Agents
TuneJury: An Open Metric for Improving Music Generation Preference Alignment
Stable Menus of Public Goods: AI-Enabled Progress
How Much Do Reviews Really Contribute? A Study on Text-Enriched Matrix Factorization for …
Probing Low Frame Rate Degradation in Neural Audio Codecs
CrossMaps: Confidence-Aware Open-Vocabulary Semantic Mapping for Rover Navigation
A Unified Causal-Origin Taxonomy of Distributional Shifts in Reinforcement Learning
Demystifying Variance in Circuit Discovery of LLMs
IMPACTeen: Intentions, Manipulation, Persuasion, Annotations, and Consequences in Teen Co…
Beyond Weights and Gradients: A Taxonomy of Federated Learning Messages
UXBench: Measuring the Actionability of LLM-Generated UX Critiques
Variance Reduction for Non-Log-Concave Sampling with Applications to Inverse Problems
Data Augmentations for Data-Constrained Language Model Pretraining
From Tokens to Regions: CUDA-Sensitive Instruction Tuning for GPU Kernel Generation
Calibrated Sampling-Free Uncertainty Estimation in Bayesian Deep Learning
LUCID: Learned Undersampling-Adaptive Consistency-Guided Inference with Deterministic Flo…
EgoPhys: Learning Generalizable Physics Models of Deformable Objects from Egocentric Video
Lect\=uraAgents: A Multi-Agent Framework for Adaptive Personalized AI-Assisted Learning a…
Input-Dependent Fisher Information for Local Sensitivity Analysis of Medical Image Classi…
What Should a Streaming Video Model Remember?