24 citations · 25 across the 8 of their papers we have counts for
4 papers · 1 filter
Synthetic Alone: Exploring the Dark Side of Synthetic Data for Grammatical Error Correction
Chanjun Park, Seonmin Koo, Seolhwa Lee +4
Data-centric AI approach aims to enhance the model performance without modifying the model and has been shown to impact model performance positively. While recent attention has bee…
What does the Failure to Reason with "Respectively" in Zero/Few-Shot Settings Tell Us about Language Models?
Ruixiang Cui, Seolhwa Lee, Daniel Hershcovich +1
Humans can effortlessly understand the coordinate structure of sentences such as "Niels Bohr and Kurt Cobain were born in Copenhagen and Seattle, respectively". In the context of n…
Assessing Cross-Cultural Alignment between ChatGPT and Human Societies: An Empirical Study
Yong Cao, Li Zhou, Seolhwa Lee +3
The recent release of ChatGPT has garnered widespread recognition for its exceptional ability to generate human-like responses in dialogue. Given its usage by users from various na…
Self-Improving-Leaderboard(SIL): A Call for Real-World Centric Natural Language Processing Leaderboards
Chanjun Park, Hyeonseok Moon, Seolhwa Lee +3
Leaderboard systems allow researchers to objectively evaluate Natural Language Processing (NLP) models and are typically used to identify models that exhibit superior performance o…