Analytical Provisioning for Attention-FFN Disaggregated LLM Serving under Stochastic Work…
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Noticias de IA
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Optimal Lower Bounds for Networked Information Aggregation
CETalk: Continuous Valence-Arousal Control for Audio-Driven 3D Talking Head Generation
Cross-Sign Language Transfer Learning Using Domain Adaptation with Multi-scale Temporal A…
Fast Test-Time Refinement for Robust Learned Image Compression
Data-knowledge dual-driven intelligent framework for full-chain, experiment-efficient syn…
A Unified Backbone--Expert Framework with Relation-Token and Residual--Classifier Interfa…
LAPF: LLM-Agent-Based Path Finder Using the UAVScenes Dataset
FinFraudBench: A Heterogeneous Graph Benchmark for Financial Fraud Detection
The Quality of Claude AI-authored Python Tests Is Not Weaker Than Human-authored Tests
Valhalla: A Layered Knowledge-State and Service-Governance Framework for Long-Term Scient…
CG-GLORE: A Conjugate Gradient-Based Global-Local Regularization Network for Sparse-View …
Do Uncertainty Signals Help? A Systematic Study of Uncertainty-Aware Decoding with Rollba…
NARRATE: A Multimodal Real-World Australian Driving Dataset for Human-Centred Explanation…
Pushing the Limits of High-Resolution Weather Forecasting through Data Scaling
Layers Matter: Why Continual Learning Regularization Should Be Layer-Adaptive
Federated Self-Supervised Modulation Classification under Non-IID and Imbalanced Data
Pricing the Risk of Runtime Compression: Anytime-Valid Admission and a Served-Output Law …
Ring-based Spatial Transformer: Learning Non-linear Spatial Interactions between Building…
Sleeping Kelly
RLCascadeRouter: Quality-Estimator-Free Cascade Routing via Reinforcement Learning
Broken Symmetry in LLM Refusal: Answer Release Is More Local Than Refusal Restoration
Foresight-England: Development of a National-Scale Generative AI Model of Electronic Heal…
Explainable Heterogeneous Anomaly Detection in Financial Networks via Adaptive Expert Rou…
Automatic or Controlled? Repetition Priming Reveals Divergent Processing in Base LLMs, In…
Sequential LLM Release Facilitates Manipulation in Regulated Markets
ER-KANs: Efficient and Robust Kolmogorov-Arnold Networks for Data-Scarce Scientific Machi…
Measuring Reward Hacking and Reasoning-Answer Decoupling Under Position-Confounded Optimi…
GaussMemory: Task-Driven 3D Gaussian Scene Memory for Long-Horizon Robotic Manipulation
Identifying Harm in Personalized, Generative AI Systems Requires User-Centered Auditing a…