Researchers propose a method called Online Residual Policy Adaptation (ORPA) for improving the performance of robotic manipulation policies in real-ti...
Researchers propose a new method called SPACE for multivariate time-series forecasting that improves upon existing methods by directly estimating the ...
Researchers have developed MoFE, a new deep learning framework for forecasting cryptocurrency prices. The model combines Fourier Neural Operators with...
Researchers have developed a new type of neural network surrogate that can solve complex electromagnetic wave scattering problems much faster than tra...
Researchers have proposed a new evaluation protocol for black-box jailbreak attacks called Fair-ASR. This protocol takes into account the shared targe...
Researchers have developed a new method for prioritizing experiences in reinforcement learning, particularly in image-based domains where agents must ...
Researchers have introduced PTXBench, a benchmark that evaluates and adapts large language models (LLMs) to use architecture-specific PTX for GPU kern...
Researchers have developed a new framework called MCTH (Monte Carlo Tree Hallucination) for designing biomolecules like DNA and RNA. This framework us...
Researchers have introduced SemComp-Bench, a benchmark for evaluating the performance of video generation models in completing semantic tasks. The ben...
Researchers have developed a method to reduce the energy consumption of large language models (LLMs) used in software engineering tasks. The method, c...
Researchers have developed an AI-powered framework for assessing surgical skills in cataract surgery. The framework uses computer vision and signal-pr...
Researchers have proposed a new method called CoAL-RAG for retrieving and generating answers to complex legal questions. The method takes into account...