AI
Co-RL: Unsupervised Reasoning Emerges from Diverse Cohort in Multi-agent RL
Researchers have developed a new framework called Co-RL that enables unsupervised reasoning in reinf...
AI
Learning Where and What to Lift for Bi-planar X-ray-to-CT Reconstruction
Researchers have developed a new method for reconstructing CT scans from just two X-ray images. The ...
AI
Nonadaptive Learning in Robust Nonlinear Output Regulation
Researchers have developed a nonadaptive learning method for robust nonlinear output regulation in c...
AI
Understanding Curriculum Learning in Large Language Models via Cross-Difficulty Optimization Dynamics
Researchers analyzed the effectiveness of 'curriculum learning' in large language models by examinin...
AI
When Agents Act on Web3: An Attack-Surface Survey of MCP, Skills, and Tool Calling
Researchers have surveyed the Model Context Protocol (MCP) ecosystem, finding th...
AI
Rethinking Irregular Time Series Forecasting from the Perspective of Basis Functions
Researchers have proposed a new method for forecasting irregular time series dat...
AI
Beyond MSE: Rethinking the Evaluation Metric and Benchmarking for Irregular Time Series Forecasting
Researchers have proposed a new evaluation metric for irregular time-series fore...
AI
NeuroAbs: A Neuro-Symbolic RTL Abstraction Framework for Property Checking Acceleration
NeuroAbs is a new framework for accelerating property checking in hardware desig...