10 citations · 17 across the 6 of their papers we have counts for
6 papers
CS1QA: A Dataset for Assisting Code-based Question Answering in an Introductory Programming Course
Changyoon Lee, Yeon Seonwoo, Alice Oh
We introduce CS1QA, a dataset for code-based question answering in the programming education domain. CS1QA consists of 9,237 question-answer pairs gathered from chat logs in an int…
IDK-MRC: Unanswerable Questions for Indonesian Machine Reading Comprehension
Rifki Afina Putri, Alice Oh
Machine Reading Comprehension (MRC) has become one of the essential tasks in Natural Language Understanding (NLU) as it is often included in several NLU benchmarks (Liang et al., 2…
HUE: Pretrained Model and Dataset for Understanding Hanja Documents of Ancient Korea
Haneul Yoo, Jiho Jin, Juhee Son +3
Historical records in Korea before the 20th century were primarily written in Hanja, an extinct language based on Chinese characters and not understood by modern Korean or Chinese…
Models and Benchmarks for Representation Learning of Partially Observed Subgraphs
Dongkwan Kim, Jiho Jin, Jaimeen Ahn +1
Subgraphs are rich substructures in graphs, and their nodes and edges can be partially observed in real-world tasks. Under partial observation, existing node- or subgraph-level mes…
Two-Step Question Retrieval for Open-Domain QA
Yeon Seonwoo, Juhee Son, Jiho Jin +4
The retriever-reader pipeline has shown promising performance in open-domain QA but suffers from a very slow inference speed. Recently proposed question retrieval models tackle thi…
Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning
Seonghyeon Ye, Jiseon Kim, Alice Oh
We introduce EfficientCL, a memory-efficient continual pretraining method that applies contrastive learning with novel data augmentation and curriculum learning. For data augmentat…