activity
20222024
most citedTowards Diverse and Effective Question-Answer Pair Generation from Children Storybooks

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2024

Post-hoc Utterance Refining Method by Entity Mining for Faithful Knowledge Grounded Conversations

Yoonna Jang, Suhyune Son, Jeongwoo Lee +6

Despite the striking advances in recent language generation performance, model-generated responses have suffered from the chronic problem of hallucinations that are either untrue o…

cs.CL2024

Toward Practical Automatic Speech Recognition and Post-Processing: a Call for Explainable Error Benchmark Guideline

Seonmin Koo, Chanjun Park, Jinsung Kim +4

Automatic speech recognition (ASR) outcomes serve as input for downstream tasks, substantially impacting the satisfaction level of end-users. Hence, the diagnosis and enhancement o…

cs.CL20232 cited

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…

cs.CL2023

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…

cs.CL2022

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…