8 citations · 24 across the 8 of their papers we have counts for
8 papers
Towards Zero-Shot Functional Compositionality of Language Models
Hangyeol Yu, Myeongho Jeong, Jamin Shin +3
Large Pre-trained Language Models (PLM) have become the most desirable starting point in the field of NLP, as they have become remarkably good at solving many individual tasks. Des…
Evaluating the Knowledge Dependency of Questions
Hyeongdon Moon, Yoonseok Yang, Jamin Shin +6
The automatic generation of Multiple Choice Questions (MCQ) has the potential to reduce the time educators spend on student assessment significantly. However, existing evaluation m…
Automated Evaluation for Student Argumentative Writing: A Survey
Xinyu Wang, Yohan Lee, Juneyoung Park
This paper surveys and organizes research works in an under-studied area, which we call automated evaluation for student argumentative writing. Unlike traditional automated writing…
GRAM: Fast Fine-tuning of Pre-trained Language Models for Content-based Collaborative Filtering
Yoonseok Yang, Kyu Seok Kim, Minsam Kim +1
Content-based collaborative filtering (CCF) predicts user-item interactions based on both users' interaction history and items' content information. Recently, pre-trained language…
No Task Left Behind: Multi-Task Learning of Knowledge Tracing and Option Tracing for Better Student Assessment
Suyeong An, Junghoon Kim, Minsam Kim +1
Student assessment is one of the most fundamental tasks in the field of AI Education (AIEd). One of the most common approach to student assessment is Knowledge Tracing (KT), which…
Dialogue Summaries as Dialogue States (DS2), Template-Guided Summarization for Few-shot Dialogue State Tracking
Jamin Shin, Hangyeol Yu, Hyeongdon Moon +2
Annotating task-oriented dialogues is notorious for the expensive and difficult data collection process. Few-shot dialogue state tracking (DST) is a realistic solution to this prob…
Pedagogical Word Recommendation: A novel task and dataset on personalized vocabulary acquisition for L2 learners
Jamin Shin, Juneyoung Park
When learning a second language (L2), one of the most important but tedious components that often demoralizes students with its ineffectiveness and inefficiency is vocabulary acqui…
Consistency and Monotonicity Regularization for Neural Knowledge Tracing
Seewoo Lee, Youngduck Choi, Juneyoung Park +2
Knowledge Tracing (KT), tracking a human's knowledge acquisition, is a central component in online learning and AI in Education. In this paper, we present a simple, yet effective s…