30 citations · 33 across the 5 of their papers we have counts for
5 papers
Using Contextually Aligned Online Reviews to Measure LLMs' Performance Disparities Across Language Varieties
Zixin Tang, Chieh-Yang Huang, Tsung-Che Li +3
A language can have different varieties. These varieties can affect the performance of natural language processing (NLP) models, including large language models (LLMs), which are o…
Generating Educational Materials with Different Levels of Readability using LLMs
Chieh-Yang Huang, Jing Wei, Ting-Hao 'Kenneth' Huang
This study introduces the leveled-text generation task, aiming to rewrite educational materials to specific readability levels while preserving meaning. We assess the capability of…
How Does Conversation Length Impact User's Satisfaction? A Case Study of Length-Controlled Conversations with LLM-Powered Chatbots
Shih-Hong Huang, Ya-Fang Lin, Zeyu He +2
Users can discuss a wide range of topics with large language models (LLMs), but they do not always prefer solving problems or getting information through lengthy conversations. Thi…
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…