20 citations · 38 across the 11 of their papers we have counts for
6 papers · 1 filter
If in a Crowdsourced Data Annotation Pipeline, a GPT-4
Zeyu He, Chieh-Yang Huang, Chien-Kuang Cornelia Ding +2
Recent studies indicated GPT-4 outperforms online crowd workers in data labeling accuracy, notably workers from Amazon Mechanical Turk (MTurk). However, these studies were criticiz…
Inspo: Writing with Crowds Alongside AI
Chieh-Yang Huang, Sanjana Gautam, Shannon McClellan Brooks +3
The use of artificial intelligence (AI) to support creative writing has bloomed in recent years. However, it is less well understood how AI compares to on-demand human support. We…
ConvXAI: Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing
Hua Shen, Chieh-Yang Huang, Tongshuang Wu +1
Despite a surge collection of XAI methods, users still struggle to obtain required AI explanations. Previous research suggests chatbots as dynamic solutions, but the effective desi…
What Types of Questions Require Conversation to Answer? A Case Study of AskReddit Questions
Shih-Hong Huang, Chieh-Yang Huang, Ya-Fang Lin +1
The proliferation of automated conversational systems such as chatbots, spoken-dialogue systems, and smart speakers, has significantly impacted modern digital life. However, these…
Too Slow to Be Useful? On Incorporating Humans in the Loop of Smart Speakers
Shih-Hong Huang, Chieh-Yang Huang, Yuxin Deng +3
Real-time crowd-powered systems, such as Chorus/Evorus, VizWiz, and Apparition, have shown how incorporating humans into automated systems could supplement where the automatic solu…
Heteroglossia: In-Situ Story Ideation with the Crowd
Chieh-Yang Huang, Shih-Hong Huang, Ting-Hao 'Kenneth' Huang
Ideation is essential for creative writing. Many authors struggle to come up with ideas throughout the writing process, yet modern writing tools fail to provide on-the-spot assista…