Evaluating large language model (LLM) based chat assistants is challenging due to their
broad capabilities and the inadequacy of existing benchmarks in measuring human …

Cytosine DNA methylation is essential in brain development and is implicated in various
neurological disorders. Understanding DNA methylation diversity across the entire brain in a …

In this work, we investigate an intriguing and prevalent phenomenon of diffusion models
which we term as" consistent model reproducibility'': given the same starting noise input and …

The high computational and memory requirements of generative large language models
(LLMs) make it challenging to serve them cheaply. This paper aims to reduce the monetary …

Cloud platforms have been focusing on reducing their carbon emissions by shifting
workloads across time and locations to when and where low-carbon energy is available …

Sustainability in computing is critical as environmental concerns rise. The cloud industry's
carbon footprint is significant and rapidly growing. We show that dynamic geospatial shifting …

In the era of the IoT revolution, applications are becoming ever more sophisticated and
accompanied by diverse functional and non-functional requirements, including those related …

A long-standing goal of data management systems has been to build systems which can
compute quantitative insights over large corpora of unstructured data in a cost-effective …

Generative Large Language Models (LLMs) based on the Transformer architecture have
recently emerged as a dominant foundation model for a wide range of Natural Language …

Input data preprocessing is a common bottleneck in machine learning (ML) jobs, that can
significantly increase training time and cost as expensive GPUs or TPUs idle waiting for …