Abstract: The regularized recursive least-squares (RLS) algorithm with an appropriate regularization parameter has much better robustness performance than the regular RLS algorithm in the presence of ...

Recursive Language Models aim to break the usual trade off between context length, accuracy and cost in large language models. Instead of forcing a model to read a giant prompt in one pass, RLMs treat ...

Abstract: Aiming at the bottleneck problem of computational efficiency and convergence performance of mathematical optimization algorithms in large-scale data processing and analysis, this paper ...