2 citations · 8 across the 11 of their papers we have counts for
7 papers
KoBigBird-large: Transformation of Transformer for Korean Language Understanding
Kisu Yang, Yoonna Jang, Taewoo Lee +4
This work presents KoBigBird-large, a large size of Korean BigBird that achieves state-of-the-art performance and allows long sequence processing for Korean language understanding.…
Towards Reliable and Fluent Large Language Models: Incorporating Feedback Learning Loops in QA Systems
Dongyub Lee, Taesun Whang, Chanhee Lee +1
Large language models (LLMs) have emerged as versatile tools in various daily applications. However, they are fraught with issues that undermine their utility and trustworthiness.…
Towards Diverse and Effective Question-Answer Pair Generation from Children Storybooks
Sugyeong Eo, Hyeonseok Moon, Jinsung Kim +6
Recent advances in QA pair generation (QAG) have raised interest in applying this technique to the educational field. However, the diversity of QA types remains a challenge despite…
Self-Improving-Leaderboard(SIL): A Call for Real-World Centric Natural Language Processing Leaderboards
Chanjun Park, Hyeonseok Moon, Seolhwa Lee +3
Leaderboard systems allow researchers to objectively evaluate Natural Language Processing (NLP) models and are typically used to identify models that exhibit superior performance o…
KoCHET: a Korean Cultural Heritage corpus for Entity-related Tasks
Gyeongmin Kim, Jinsung Kim, Junyoung Son +1
As digitized traditional cultural heritage documents have rapidly increased, resulting in an increased need for preservation and management, practical recognition of entities and t…
QUAK: A Synthetic Quality Estimation Dataset for Korean-English Neural Machine Translation
Sugyeong Eo, Chanjun Park, Hyeonseok Moon +4
With the recent advance in neural machine translation demonstrating its importance, research on quality estimation (QE) has been steadily progressing. QE aims to automatically pred…