Search Results for author:
Found 7 papers, 3 papers with code
CodeAid: Evaluating a Classroom Deployment of an LLM-based Programming Assistant that Balances Student and Educator Needs
Timely, personalized feedback is essential for students learning programming.
SynthScribe: Deep Multimodal Tools for Synthesizer Sound Retrieval and Exploration
This is achieved with three main features: a multimodal search engine for a large library of synthesizer sounds; a user centered genetic algorithm by which completely new sounds can be created and selected given the users preferences; a sound editing support feature which highlights and gives examples for key control parameters with respect to a text or audio based query.
ABScribe: Rapid Exploration & Organization of Multiple Writing Variations in Human-AI Co-Writing Tasks using Large Language Models
Exploring alternative ideas by rewriting text is integral to the writing process.
DiLogics: Creating Web Automation Programs With Diverse Logics
Knowledge workers frequently encounter repetitive web data entry tasks, like updating records or placing orders.
Promptify: Text-to-Image Generation through Interactive Prompt Exploration with Large Language Models
Text-to-image generative models have demonstrated remarkable capabilities in generating high-quality images based on textual prompts.
Screen2Words: Automatic Mobile UI Summarization with Multimodal Learning
Mobile User Interface Summarization generates succinct language descriptions of mobile screens for conveying important contents and functionalities of the screen, which can be useful for many language-based application scenarios.
Skyline: Interactive In-Editor Computational Performance Profiling for Deep Neural Network Training
Training a state-of-the-art deep neural network (DNN) is a computationally-expensive and time-consuming process, which incentivizes deep learning developers to debug their DNNs for computational performance.
