AI
FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills
Researchers have developed a new framework called FlowEvo that allows large language model agents to...
AI
LLM Capability Limits: Static Emergence and Dynamic Boundary Control
Researchers have proposed a new framework for understanding the limitations of large language models...
AI
Evaluating Investment Logic in Large Language Models: A Real-World Benchmark Towards Personalzied Financial Agents
Researchers have developed a benchmark to evaluate the investment logic of large language models. Th...
AI
WNM-3D: A World Navigation Model with 3D Scene Conditioning for Closed-Loop VLN
Researchers have developed a new AI model called WNM-3D for vision-language navigation. This model u...
AI
GENCO - A Unified Neural Solver Embedded in a Development Framework for Steady-State Grid Analysis
Researchers have developed a new AI tool called GENCO that can analyze power gri...
AI
Learning-Based Speed Estimation from Accelerometer-Only Inertial Sensing
Researchers have proposed a model called CarSpeedNet that can estimate the speed...
AI
Teacher-free Latent Self-distillation and Class-separable Representations for Lightweight IoT Attack Detection
A new AI framework called Twin Autoencoder (TAE) has been proposed for lightweig...
AI
Towards Efficient Pareto Set Approximation via Mixture of Experts Based Model Fusion
A new approach has been proposed for efficiently approximating the Pareto set in...