AI
A Temporal Planning Approach for Intelligent Flood Response
Researchers have developed a framework for intelligent flood response that uses temporal planning to...
AI
FL-MAESTRO: Multi-Agent LLM Orchestration for Resource-Constrained Federated Learning
Researchers have developed FL-MAESTRO, a system that uses three large language models to make decisi...
AI
Volumetric Radiology AI in the Era of Multimodal Large Language Models
Researchers have reviewed over 200 publications on volumetric radiology AI, highlighting the limitat...
AI
Consilience: Conformally Calibrated Communication Control for Hidden-Profile Multi-Agent Reasoning
Researchers propose Consilience, a framework for coordinating communication among multi-agent system...
AI
Open-Weight Masked Introspection: Measuring What Language Models Can Report About Their Own Computation
Researchers tested whether large language models can report on their internal wo...
AI
FlavourBench: Ranking Frontier Language Models with Executable Culinary Ground Truth
Researchers have introduced FlavourBench, a benchmark for evaluating language mo...
AI
Difficulty-Aware Semantic-ID Optimization for Generative Recommendation
Researchers have proposed a new method called Difficulty-Aware Semantic-ID Optim...
AI
Evaluating Skills, Not Just Agents: Agentic Continuous Evaluation of Skills
Researchers have developed a framework called ACES (Agentic Continuous Evaluatio...