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: We consider the problem of dynamic channel allocation (DCA) in cognitive communication networks with the goal of maximizing a global signal-to-interference-plus-noise ratio (SINR) measure ...
Abstract: As AI workloads grow, memory bandwidth and access efficiency have become critical bottlenecks in high-performance accelerators. With increasing data movement demands for GEMM and GEMV ...
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