Maglev: Sliding Recurrent Memory
We introduce , a recurrent Transformer architecture with fixed-size memory that generalizes sliding-window attention ...
每天自动聚合 AI 领域最新动态
We introduce , a recurrent Transformer architecture with fixed-size memory that generalizes sliding-window attention ...
Modern image classification models excel when trained on single task-specific datasets but often struggle to generali...
Concept drift refers to changes over time in the statistical properties of data, as compared to the data that was use...
Analog circuit design is a time-consuming, iterative process in a nonlinear and high-dimensional design space that re...
We present Multi-Agent Reasoning and Coordination (MARC), an open-source framework that replaces monolithic LLM promp...
As language-model-based AI is increasingly deployed in autonomous settings, aligning its goals and values with those ...
When asked about entities outside their knowledge boundary, LLMs routinely fabricate plausible-sounding details rathe...
This report presents an improved version of AlayaWorld. While the backbone architecture, chunk-wise autoregressive ge...
Current large language model development relies on massive, often non-permissible datasets, creating a high barrier f...
We study masking diffusion for discrete sampling and introduce a path-resolved measure of data geometry called the \e...
AI agents are increasingly used for programming, but do not provide any guarantee on the correctness of generated cod...
Modern language models are trained on heterogeneous web-scale text corpora. Consequently, studying knowledge and skil...