activity
20122023
most citedK-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations

167 citations · 534 across the 24 of their papers we have counts for

collaborators

27 papers

cs.HC2023★ 2 cited

Learning from Teaching Assistants to Program with Subgoals: Exploring the Potential for AI Teaching Assistants

Changyoon Lee, Junho Myung, Jieun Han +2

With recent advances in generative AI, conversational models like ChatGPT have become feasible candidates for TAs. We investigate the practicality of using generative AI as TAs in…

cs.CL2023★ 5 cited

ChEDDAR: Student-ChatGPT Dialogue in EFL Writing Education

Jieun Han, Haneul Yoo, Junho Myung +4

The integration of generative AI in education is expanding, yet empirical analyses of large-scale, real-world interactions between students and AI systems still remain limited. In…

cs.HC2023★ 64 cited

RECIPE: How to Integrate ChatGPT into EFL Writing Education

Jieun Han, Haneul Yoo, Yoonsu Kim +8

The integration of generative AI in the field of education is actively being explored. In particular, ChatGPT has garnered significant interest, offering an opportunity to examine…

cs.CL2022

Rethinking Annotation: Can Language Learners Contribute?

Haneul Yoo, Rifki Afina Putri, Changyoon Lee +4

Researchers have traditionally recruited native speakers to provide annotations for widely used benchmark datasets. However, there are languages for which recruiting native speaker…

cs.CL2022★ 4 cited

KOLD: Korean Offensive Language Dataset

Younghoon Jeong, Juhyun Oh, Jaimeen Ahn +4

Recent directions for offensive language detection are hierarchical modeling, identifying the type and the target of offensive language, and interpretability with offensive span an…

cs.LG2022★ 116 cited

How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

Dongkwan Kim, Alice Oh

Attention mechanism in graph neural networks is designed to assign larger weights to important neighbor nodes for better representation. However, what graph attention learns is not…