Abstract: Most existing simultaneous localization and mapping (SLAM) algorithms rely on static world assumptions and perform poorly in complex dynamic environments. In order to improve the accuracy ...
A lightweight framework that gives language models (LMs) a persistent, evolving memory during inference time. Dynamic Cheatsheet (DC) endows black-box language models with the ability to store and ...
Abstract: Recent studies have integrated convolutions into transformers to introduce inductive bias and improve generalization performance. However, the static nature of conventional convolution ...
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