86 citations · 685 across the 67 of their papers we have counts for
4 papers · 1 filter
Learning Dynamic BERT via Trainable Gate Variables and a Bi-modal Regularizer
Seohyeong Jeong, Nojun Kwak
The BERT model has shown significant success on various natural language processing tasks. However, due to the heavy model size and high computational cost, the model suffers from…
Self-supervised pre-training and contrastive representation learning for multiple-choice video QA
Seonhoon Kim, Seohyeong Jeong, Eunbyul Kim +2
Video Question Answering (Video QA) requires fine-grained understanding of both video and language modalities to answer the given questions. In this paper, we propose novel trainin…
Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension
Daesik Kim, Seonhoon Kim, Nojun Kwak
In this work, we introduce a novel algorithm for solving the textbook question answering (TQA) task which describes more realistic QA problems compared to other recent tasks. We ma…
Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information
Seonhoon Kim, Inho Kang, Nojun Kwak
Sentence matching is widely used in various natural language tasks such as natural language inference, paraphrase identification, and question answering. For these tasks, understan…