15 citations · 26 across the 6 of their papers we have counts for
3 papers · 1 filter
Enhancing Emotion Prediction in News Headlines: Insights from ChatGPT and Seq2Seq Models for Free-Text Generation
Ge Gao, Jongin Kim, Sejin Paik +5
Predicting emotions elicited by news headlines can be challenging as the task is largely influenced by the varying nature of people's interpretations and backgrounds. Previous work…
On Measuring Social Biases in Prompt-Based Multi-Task Learning
Afra Feyza Akyürek, Sejin Paik, Muhammed Yusuf Kocyigit +3
Large language models trained on a mixture of NLP tasks that are converted into a text-to-text format using prompts, can generalize into novel forms of language and handle novel ta…
Challenges in Measuring Bias via Open-Ended Language Generation
Afra Feyza Akyürek, Muhammed Yusuf Kocyigit, Sejin Paik +1
Researchers have devised numerous ways to quantify social biases vested in pretrained language models. As some language models are capable of generating coherent completions given…