806 citations · 857 across the 7 of their papers we have counts for
9 papers
Semantic Compression With Large Language Models
Henry Gilbert, Michael Sandborn, Douglas C. Schmidt +2
The rise of large language models (LLMs) is revolutionizing information retrieval, question answering, summarization, and code generation tasks. However, in addition to confidently…
ChatGPT Prompt Patterns for Improving Code Quality, Refactoring, Requirements Elicitation, and Software Design
Jules White, Sam Hays, Quchen Fu +2
This paper presents prompt design techniques for software engineering, in the form of patterns, to solve common problems when using large language models (LLMs), such as ChatGPT to…
A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT
Jules White, Quchen Fu, Sam Hays +6
Prompt engineering is an increasingly important skill set needed to converse effectively with large language models (LLMs), such as ChatGPT. Prompts are instructions given to an LL…
NL2CMD: An Updated Workflow for Natural Language to Bash Commands Translation
Quchen Fu, Zhongwei Teng, Marco Georgaklis +2
Translating natural language into Bash Commands is an emerging research field that has gained attention in recent years. Most efforts have focused on producing more accurate transl…
Deep Learning Models on CPUs: A Methodology for Efficient Training
Quchen Fu, Ramesh Chukka, Keith Achorn +5
GPUs have been favored for training deep learning models due to their highly parallelized architecture. As a result, most studies on training optimization focus on GPUs. There is o…
SA-SASV: An End-to-End Spoof-Aggregated Spoofing-Aware Speaker Verification System
Zhongwei Teng, Quchen Fu, Jules White +2
Research in the past several years has boosted the performance of automatic speaker verification systems and countermeasure systems to deliver low Equal Error Rates (EERs) on each…
FastAudio: A Learnable Audio Front-End for Spoof Speech Detection
Quchen Fu, Zhongwei Teng, Jules White +2
Voice assistants, such as smart speakers, have exploded in popularity. It is currently estimated that the smart speaker adoption rate has exceeded 35% in the US adult population. M…
Complementing Handcrafted Features with Raw Waveform Using a Light-weight Auxiliary Model
Zhongwei Teng, Quchen Fu, Jules White +2
An emerging trend in audio processing is capturing low-level speech representations from raw waveforms. These representations have shown promising results on a variety of tasks, su…
NeurIPS 2020 NLC2CMD Competition: Translating Natural Language to Bash Commands
Mayank Agarwal, Tathagata Chakraborti, Quchen Fu +6
The NLC2CMD Competition hosted at NeurIPS 2020 aimed to bring the power of natural language processing to the command line. Participants were tasked with building models that can t…