1 code implementation • NeurIPS 2023 • Hyojun Go, Jinyoung Kim, Yunsung Lee, SeungHyun Lee, Shinhyeok Oh, Hyeongdon Moon, Seungtaek Choi
Through this, our approach addresses the issue of negative transfer in diffusion models by allowing for efficient computation of MTL methods.
no code implementations • 30 May 2023 • Hyun Seung Lee, Seungtaek Choi, Yunsung Lee, Hyeongdon Moon, Shinhyeok Oh, Myeongho Jeong, Hyojun Go, Christian Wallraven
To mitigate these issues, here we propose a novel retrieval approach CEAA that provides effective learning in educational text classification.
no code implementations • 26 May 2023 • Shinhyeok Oh, Hyojun Go, Hyeongdon Moon, Yunsung Lee, Myeongho Jeong, Hyun Seung Lee, Seungtaek Choi
To this end, we propose to paraphrase the reference question for a more robust QG evaluation.
1 code implementation • 6 Mar 2023 • Hangyeol Yu, Myeongho Jeong, Jamin Shin, Hyeongdon Moon, Juneyoung Park, Seungtaek Choi
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.
1 code implementation • 21 Nov 2022 • Hyeongdon Moon, Yoonseok Yang, Jamin Shin, Hangyeol Yu, SeungHyun Lee, Myeongho Jeong, Juneyoung Park, Minsam Kim, Seungtaek Choi
They fail to evaluate the MCQ's ability to assess the student's knowledge of the corresponding target fact.
1 code implementation • Findings (ACL) 2022 • Jamin Shin, Hangyeol Yu, Hyeongdon Moon, Andrea Madotto, Juneyoung Park
In this paper, we hypothesize that dialogue summaries are essentially unstructured dialogue states; hence, we propose to reformulate dialogue state tracking as a dialogue summarization problem.
Abstractive Dialogue Summarization Dialogue State Tracking +2