Will AI Agents Free Us From Meaningless Work? A Human-Centered Analysis
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Noticias de IA
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Mapping AI Programs in the U.S: A Status Report from Early 2026 and an Analysis of AI Maj…
The AI Legal Specialist: A Juridically Autonomous Professional Profile for AI Governance
Automated reproducibility assessments in the social and behavioral sciences using large l…
Rethinking RAG in Long Videos: What to Retrieve and How to Use It?
Augmentation techniques for video surveillance in the visible and thermal spectral range
SciR: A Controllable Benchmark for Scientific Reasoning in LLMs
APCyc: Property-Informed Design of Cyclic Peptides via Automated Cyclization
A Mathematical Forum Platform for Collaborative Problem Solving and Dataset Generation fo…
Multi-Modal Agents for Power Distribution Defect Detection: An Evaluation of Foundation M…
Physics-Guided Spatiotemporal Learning for Coastal Wave Peak Period Estimation from Video
Brick: Spatial Capability Routing for the Mixture-of-Models (MoM) Paradigm
SkMTEB: Slovak Massive Text Embedding Benchmark and Model Adaptation
ARMOR-MAD: Adaptive Routing for Heterogeneous Multi-Agent Debate in Large Language Model …
Boosting Direct Preference Optimization with Penalization
Position: Generative Engine Optimization Creates Underexamined Risks, Governance Must Tar…
An Explainable AI Assistant for Introductory Programming Education: Improving Feedback Re…
AI-Automation Tooling in Computer Engineering Education: Mixed-Methods TAM/UTAUT Evidence…
The Challenges of Balancing AI Compliance and Technological Innovations in Critical Secto…
Creating and Evaluating K-12 GenAI Assessment Graders Through Context Engineering
MLUBench: A Benchmark for Lifelong Unlearning Evaluation in MLLMs
Constructing Evaluation Datasets for Procedural Reasoning: Balancing Naturalness, Groundi…
Reducing the Complexity of Deep Learning Models for EEG Analysis on Wearable Devices
The Theory of Mind Utility: Formal Specification of a Mentalizing Mechanism
From AGI to ASI
Strategic Decision Support for AI Agents
ToolSense: A Diagnostic Framework for Auditing Parametric Tool Knowledge in LLMs
ASTER: Latent Pseudo-Anomaly Generation for Unsupervised Time-Series Anomaly Detection
Prism: Cost-Efficient Multi-LLM Serving via GPU Memory Ballooning
WildIFEval: Instruction Following in the Wild