806 citations · 853 across the 7 of their papers we have counts for
9 papers
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…
Real-time Speech Interruption Analysis: From Cloud to Client Deployment
Quchen Fu, Szu-Wei Fu, Yaran Fan +4
Meetings are an essential form of communication for all types of organizations, and remote collaboration systems have been much more widely used since the COVID-19 pandemic. One ma…
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…