6 citations · 10 across the 8 of their papers we have counts for
8 papers
Cognitive Agent Compilation for Explicit Problem Solver Modeling
Hyeongdon Moon, Carolyn Rosé, John Stamper
Large language models (LLMs) are widely used for tutoring, feedback generation, and content creation, but their broad pretraining makes them hard to constrain and poor substitutes…
Using Large Multimodal Models to Extract Knowledge Components for Knowledge Tracing from Multimedia Question Information
Hyeongdon Moon, Richard Davis, Seyed Parsa Neshaei +1
Knowledge tracing models have enabled a range of intelligent tutoring systems to provide feedback to students. However, existing methods for knowledge tracing in learning sciences…
Addressing Negative Transfer in Diffusion Models
Hyojun Go, JinYoung Kim, Yunsung Lee +4
Diffusion-based generative models have achieved remarkable success in various domains. It trains a shared model on denoising tasks that encompass different noise levels simultaneou…
Cross Encoding as Augmentation: Towards Effective Educational Text Classification
Hyun Seung Lee, Seungtaek Choi, Yunsung Lee +5
Text classification in education, usually called auto-tagging, is the automated process of assigning relevant tags to educational content, such as questions and textbooks. However,…
Evaluation of Question Generation Needs More References
Shinhyeok Oh, Hyojun Go, Hyeongdon Moon +4
Question generation (QG) is the task of generating a valid and fluent question based on a given context and the target answer. According to various purposes, even given the same co…
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…
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…