We propose FreeDave (Free Draft-and-Verification), a fast sampling algorithm for diffusion language models, which achieves lossless parallel decoding via a pipeline of parallel-decoded candidate ...
Karthik Ramgopal and Daniel Hewlett discuss the evolution of AI at LinkedIn, from simple prompt chains to a sophisticated ...
Abstract: High-quality neural machine translation (NMT) systems rely on the availability of large-scale and reliable parallel data. Since Myanmar language is a low-resource language, the parallel ...
Programming languages are evolving to bring the software closer to hardware. As hardware architectures become more parallel (with the advent of multicore processors and FPGAs, for example), sequential ...
Background: Background: Health literacy, the ability to understand and act on health information, is critical for patient outcomes and healthcare system effectiveness. While plain language guidelines ...
13 Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA 14 Division of Pulmonary, Critical Care and Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA 15 ...
Tools for translating natural language into code promise natural, open-ended interaction with databases, web APIs, and other software systems. However, this promise is complicated by the diversity and ...
Abstract: In this study, we propose a two-pass pipeline for Tibetan Dialect Conversion systems. To address the challenges of limited training data and complex morphological structures of Tibetan ...
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