DualMem: Bypassing the Objectness Bottleneck for Calibrated Unknown-Stream Filtering in O…
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Noticias de IA
27413 elementos — filtrados, clasificados y sin duplicados
EM-Vid: Training-Free Entity-Centric Memory for Efficient and Consistent Multi-Shot Video…
Cost-Effective Model Evaluation with Meta-Learning
DrawVideo: Generating Long Video from Storyboard Keyframe Sketches
Multimodal Distribution Matching for Vision-Language Dataset Distillation
Automated Random Embedding for Practical Bayesian Optimization with Unknown Effective Dim…
Learning Individual Dynamics from Sparse Cross-Sectional Snapshots
SSDAU: Structured Semantic Data Augmentation for Joint Entity and Relation Extraction
Metacognition as Reward: Reinforcing LLM Reasoning via Knowledge and Regulation Signals
CHASD: Language Increment-Calibrated Contrastive Decoding against Hallucination in LVLMs
Every Component is a Lookup: Token Attribution and Composition from a Single Decomposition
Convergence Without Understanding: When Language Models Agree on Representations but Disa…
When Good Equations Get Bad Scores: Improving Symbolic Regression Through Better Paramete…
6G Communication Networks Enabling Embodied Agents: Architecture and Prototype
CoSPlay: Cooperative Self-Play at Test-Time with Self-Generated Code and Unit Test
FastKernels: Benchmarking GPU Kernel Generation in Production
Adaptive Mass-Segmented KV Compression for Long-Context Reasoning
DiLaDiff: Distilled Latent-Augmented Diffusion for Language Modeling
Generative AI and the Reorganization of Labor Demand
Infra-Bayesian Reinforcement Learning Agents Outperform Classical RL For Worst-Case Robus…
Exploiting Longitudinal Context in Clinician-Verified Interactive Lesion Tracking
MUSEKG: A Knowledge Graph Over Museum Collections
KAPLAN: Kolmogorov-Arnold Prognostic Learnable Activation Networks for Survival Analysis
Model Collapse as Cultural Evolution
The TIME Machine: On The Power of Motion for Efficient Perception
Sparse Autoencoders Map Brain-LLM Alignment onto Cortical Semantic Topography
MadEvolve: Evolutionary Optimization of Trading Systems with Large Language Models
Robots That Know What to Ask: Recovering Misaligned Rewards through Targeted Explanations
Test-Time Training Undermines Safety Guardrails
How Far Will They Go? Red-Teaming Online Influence with Large Language Models