Learning Burst-Aware Early Warning Models for Capacity Stress under AI Workload Surges in…
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Noticias de IA
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AI-Empowered UAV-Assisted Backscatter Localization and ISAC for Zero-Energy IoT: A Compre…
Revelio: Cost-Efficient Agentic Memory Safety Vulnerability Detection For Repository-Scal…
Evaluating Large Language Models for Hausa and Fongbe Machine Translation: Benchmarks, Fa…
Human vs Machine Mathematical Difficulty on Project Euler: An Experimental Analysis
PulseCX: Breaking the Closed-World Assumption in Real-Time CX
CFAgentBench: A Reproducible Environment and Benchmark for Autonomous Construction-Financ…
AI-driven Optimisation of Quality of Recovery (QoR) in Remote Patient Monitoring
When Does a Video-Language Model Stop Watching? Reward Strength Controls the Formation an…
Can Reasoning Models Detect Changes to their Chains of Thought?
Geometry-Aware Online Scheduling for LLM Serving: From Theoretical Bound to System Practi…
ARIA: A Causal-Aware Framework for Rescuing LLM Reasoning in Trustworthy Materials Discov…
MetaPS: Adaptive Programmatic Strategy Selection for Market Agents
Investigating Linguistic Steering: An Analysis of Adjectival Effects Across Large Languag…
VISTA Architect: A graph database-oriented health AI system demonstrated in multidiscipli…
Text Dictates, Music Decorates: Energy-based Attention for Editable Dance Motion Generati…
Closed-loop Auto Research for Molecular Property Prediction: Discovering and Certifying G…
Human-Less LLM Serving: Quantifying the Human Tax on Throughput
Role-Based Agentic AI for Intent-Driven Network and Service Orchestration
The Origins of Stochasticity: Comprehensive Investigations on Uncertainty Quantification …
Measuring Behavior Portability in Large Language Models
Turning Intent into Specifications: A Benchmark and an Interactive User-Assistant Agent
Protocol-Aware Tokenization and Architecture Co-Design for Wireless Packet Foundation Mod…
Optimization-as-a-Service via Multi-Agent Large Language Model for Radio Access Networks
Delay-Adaptive Speculation Control for Low-Latency Edge-Cloud LLM Inference
BabelJudge: Measuring LLM-as-a-Judge Reliability Across Languages and Agent Trajectories
MINCE: Shrinking LLM Evaluation Datasets via Few-Model Monte Carlo Calibration
Measuring What Persists: Conditioning Mechanisms and a Geometric Framework for AI Agent I…
HAAS Studio: A Tool for Simulating, Benchmarking, and Governing Human-AI Work Allocation
RaMem: Contextual Reinstatement for Long-term Agentic Memory