activity
20232026
most citedLLM-as-a-tutor in EFL Writing Education: Focusing on Evaluation of Student-LLM Interaction

6 citations · 14 across the 15 of their papers we have counts for

collaborators

18 papers

cs.CL2026

Form Over Content In Gradient-Based Data Attribution Methods

Sunwoo Kim, Seokwon Jung, Sohyung Kim +2

Data attribution methods using gradient similarity are widely used to analyze and select training data for large language models, but what gradient similarity actually measures is…

cs.AI2026

EduZone: A Framework for Evaluating LLM Safety for K-12 Students and Teachers

Junyeong Park, Jieun Han, Haneul Yoo +3

Large language models (LLMs) are increasingly used across diverse tasks in K-12 education, yet existing safety evaluations rarely examine how harmful or inappropriate content appea…

cs.HC2026

Student-ChatGPT Interaction Visible: Designing a Teacher Dashboard for EFL Writing Education

Minsun Kim, Seon Gyeom Kim, Suyoun Lee +11

We present a Prompt Analytics Dashboard (PAD) for teachers that can traces student-LLM interactions from EFL writing classes. PAD can show student prompt-response exchanges with LL…

cs.CL2026

SemEval-2026 Task 7: Everyday Knowledge Across Diverse Languages and Cultures

Nedjma Ousidhoum, Junho Myung, Carla Perez-Almendros +27

We present our shared task on evaluating the adaptability of LLMs and NLP systems across multiple languages and cultures. The task data consist of an extended version of our manual…

cs.CL2026

FINEST: Improving LLM Responses to Sensitive Topics Through Fine-Grained Evaluation

Juhyun Oh, Nayeon Lee, Chani Jung +5

Large Language Models (LLMs) often generate overly cautious and vague responses on sensitive topics, sacrificing helpfulness for safety. Existing evaluation frameworks lack systema…

cs.HC2025

When Scaffolding Breaks: Investigating Student Interaction with LLM-Based Writing Support in Real-Time K-12 EFL Classrooms

Junho Myung, Hyunseung Lim, Hana Oh +6

Large language models (LLMs) are promising tools for scaffolding students' English writing skills, but their effectiveness in real-time K-12 classrooms remains underexplored. Addre…

cs.CL2025

One-Topic-Doesn't-Fit-All: Transcreating Reading Comprehension Test for Personalized Learning

Jieun Han, Daniel Lee, Haneul Yoo +5

Personalized learning has gained attention in English as a Foreign Language (EFL) education, where engagement and motivation play crucial roles in reading comprehension. We propose…

cs.CL2025

On the Effect of Uncertainty on Layer-wise Inference Dynamics

Sunwoo Kim, Haneul Yoo, Alice Oh

Understanding how large language models (LLMs) internally represent and process their predictions is central to detecting uncertainty and preventing hallucinations. While several s…

cs.CL2025

PapersPlease: A Benchmark for Evaluating Motivational Values of Large Language Models Based on ERG Theory

Junho Myung, Yeon Su Park, Sunwoo Kim +2

Evaluating the performance and biases of large language models (LLMs) through role-playing scenarios is becoming increasingly common, as LLMs often exhibit biased behaviors in thes…

cs.CL2025

Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English Varieties

Jiyoung Lee, Seungho Kim, Jieun Han +4

Large Language Models (LLMs) are predominantly evaluated on Standard American English (SAE), often overlooking the diversity of global English varieties. This narrow focus may rais…

cs.CL2025

Team ACK at SemEval-2025 Task 2: Beyond Word-for-Word Machine Translation for English-Korean Pairs

Daniel Lee, Harsh Sharma, Jieun Han +3

Translating knowledge-intensive and entity-rich text between English and Korean requires transcreation to preserve language-specific and cultural nuances beyond literal, phonetic o…

cs.CL2024

Code-Switching Curriculum Learning for Multilingual Transfer in LLMs

Haneul Yoo, Cheonbok Park, Sangdoo Yun +2

Large language models (LLMs) now exhibit near human-level performance in various tasks, but their performance drops drastically after a handful of high-resource languages due to th…

cs.HC2024★ 2 cited

LLM-Driven Learning Analytics Dashboard for Teachers in EFL Writing Education

Minsun Kim, SeonGyeom Kim, Suyoun Lee +11

This paper presents the development of a dashboard designed specifically for teachers in English as a Foreign Language (EFL) writing education. Leveraging LLMs, the dashboard facil…

cs.HC2024★ 2 cited

CHOP: Integrating ChatGPT into EFL Oral Presentation Practice

Jungyoub Cha, Jieun Han, Haneul Yoo +1

English as a Foreign Language (EFL) students often struggle to deliver oral presentations due to a lack of reliable resources and the limited effectiveness of instructors' feedback…

cs.HC2024

Designing Prompt Analytics Dashboards to Analyze Student-ChatGPT Interactions in EFL Writing

Minsun Kim, SeonGyeom Kim, Suyoun Lee +11

While ChatGPT has significantly impacted education by offering personalized resources for students, its integration into educational settings poses unprecedented risks, such as ina…

cs.CL2024★ 3 cited

RECIPE4U: Student-ChatGPT Interaction Dataset 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 and real-world interactions between students and AI systems still remain limited.…

cs.CL2024★ 1 cited

DREsS: Dataset for Rubric-based Essay Scoring on EFL Writing

Haneul Yoo, Jieun Han, So-Yeon Ahn +1

Automated essay scoring (AES) is a useful tool in English as a Foreign Language (EFL) writing education, offering real-time essay scores for students and instructors. However, prev…

cs.CL2023★ 6 cited

LLM-as-a-tutor in EFL Writing Education: Focusing on Evaluation of Student-LLM Interaction

Jieun Han, Haneul Yoo, Junho Myung +8

In the context of English as a Foreign Language (EFL) writing education, LLM-as-a-tutor can assist students by providing real-time feedback on their essays. However, challenges ari…