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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Whistleblowing and the machine -- towards a considered position
Towards Dys-XAI: Influence-Based Explanations for Dysarthria Severity Assessment
Trip+: Benchmarking Agents in Personalized Interactive Travel Planning
Agent Behavior Mining: Generative AI Agent Governance in Business Processes
A Quantum-Assisted Agentic Distributed Artificial Intelligence Framework for Deadline-Bou…
DrugBench: Evaluating AI Control Protocols for Medication Harm Mitigation
Confidence Laundering in Agent Systems: Why Uncertainty Needs a Latent Carrier
From Knowing to Acting: Benchmarking Self-Awareness Capability of LLM Agents
Foundation Models for Epileptogenic Zone Identification in Drug-Resistant Epilepsy
Only Ask What You Don't Know: Grounded Delta Planning for Efficient Multi-step RAG
Data Evolution by Wittgenstein's Rule Following
Confidently Wrong: Severity-Aware Calibration of Prompt-Injection Detectors under Attack …
Skill Coverage: A Test Adequacy Metric for Agent Skills
Calibration Is Not Control: Why LLM-Agent Oversight Needs Intervention
Mind the Noise: Sensitivity of Transformer-based Interaction-Aware Trajectory Prediction …
Social World Model for Lifelong Social Intelligence
Towards Transparent Mental Health Insights: An Explainable AI Model for Career-Related De…
AI Alignment From Social Choice Perspectives
Composing Verifiable Conceptual Models via Building Blocks: Towards Design-Time Verificat…
Hallucination as Context Drift: Synchronization Protocols for Multi-Agent LLM Systems
Expected Free Energy-based Planning as Variational Inference
Training the Orchestrator: A Supervised Approach to End-to-End PDDL Planning with LLM Age…
A-Evolve-Training: Autonomous Post-Training of a 30B Model
Learning Splitting Heuristics for Parallel String Solvers
Bridging Multi-Valued Heuristics and Dimensionality Reduction in Multi-Objective Search
Hypothesis-Disciplined Multi-Agent Automated Formalization of Asymptotic Statistical Theo…
An LLM-Explainable DRL Framework for Passenger-Directed Autonomous Driving
Measuring What Persists: Conditioning Mechanisms and a Geometric Framework for AI Agent I…
SkillHarness: Harnessing Safe Skills for Computer-Use Agents