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20222026
most citedEvaluating the Knowledge Dependency of Questions

6 citations · 13 across the 15 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.CL2023

Addressing Cold Start Problem for End-to-end Automatic Speech Scoring

Jungbae Park, Seungtaek Choi

Integrating automatic speech scoring/assessment systems has become a critical aspect of second-language speaking education. With self-supervised learning advancements, end-to-end s…

cs.CV2023

Multi-Architecture Multi-Expert Diffusion Models

Yunsung Lee, Jin-Young Kim, Hyojun Go +3

In this paper, we address the performance degradation of efficient diffusion models by introducing Multi-architecturE Multi-Expert diffusion models (MEME). We identify the need for…

cs.CV2023

ScoreCL: Augmentation-Adaptive Contrastive Learning via Score-Matching Function

Jin-Young Kim, Soonwoo Kwon, Hyojun Go +3

Self-supervised contrastive learning (CL) has achieved state-of-the-art performance in representation learning by minimizing the distance between positive pairs while maximizing th…

cs.CV2023★ 2 cited

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…

cs.CL2023

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,…

cs.CL2023

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…

cs.CL2023★ 1 cited

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…