Search Results for author: Quchen Fu

Found 9 papers, 4 papers with code

ChatGPT Prompt Patterns for Improving Code Quality, Refactoring, Requirements Elicitation, and Software Design

no code implementations11 Mar 2023 Jules White, Sam Hays, Quchen Fu, Jesse Spencer-Smith, Douglas C. Schmidt

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 automate common software engineering activities, such as ensuring code is decoupled from third-party libraries and simulating a web application API before it is implemented.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

no code implementations21 Feb 2023 Jules White, Quchen Fu, Sam Hays, Michael Sandborn, Carlos Olea, Henry Gilbert, Ashraf Elnashar, Jesse Spencer-Smith, Douglas C. Schmidt

This paper describes a catalog of prompt engineering techniques presented in pattern form that have been applied to solve common problems when conversing with LLMs.

Prompt Engineering Transfer Learning

Real-time Speech Interruption Analysis: From Cloud to Client Deployment

no code implementations24 Oct 2022 Quchen Fu, Szu-Wei Fu, Yaran Fan, Yu Wu, Zhuo Chen, Jayant Gupchup, Ross Cutler

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.

Deep Learning Models on CPUs: A Methodology for Efficient Training

no code implementations20 Jun 2022 Quchen Fu, Ramesh Chukka, Keith Achorn, Thomas Atta-fosu, Deepak R. Canchi, Zhongwei Teng, Jules White, Douglas C. Schmidt

First, it presents a method for optimizing the training of deep learning models on Intel CPUs and a toolkit called ProfileDNN, which we developed to improve performance profiling.

Complementing Handcrafted Features with Raw Waveform Using a Light-weight Auxiliary Model

no code implementations6 Sep 2021 Zhongwei Teng, Quchen Fu, Jules White, Maria Powell, Douglas C. Schmidt

Instead of evaluating handcrafted features and raw waveforms independently, this paper proposes an Auxiliary Rawnet model to complement handcrafted features with features learned from raw waveforms.

speech-recognition Speech Recognition +1

FastAudio: A Learnable Audio Front-End for Spoof Speech Detection

1 code implementation6 Sep 2021 Quchen Fu, Zhongwei Teng, Jules White, Maria Powell, Douglas C. Schmidt

The FastAudio front-end achieves a relative improvement of 27% when compared with fixed front-ends, outperforming all other learnable front-ends on this task.

Speaker Identification Speaker Verification +1

NeurIPS 2020 NLC2CMD Competition: Translating Natural Language to Bash Commands

1 code implementation3 Mar 2021 Mayank Agarwal, Tathagata Chakraborti, Quchen Fu, David Gros, Xi Victoria Lin, Jaron Maene, Kartik Talamadupula, Zhongwei Teng, Jules White

The NLC2CMD Competition hosted at NeurIPS 2020 aimed to bring the power of natural language processing to the command line.

Cannot find the paper you are looking for? You can Submit a new open access paper.