40 citations · 51 across the 4 of their papers we have counts for
4 papers
A Versatile Framework for Evaluating Ranked Lists in terms of Group Fairness and Relevance
Tetsuya Sakai, Jin Young Kim, Inho Kang
We present a simple and versatile framework for evaluating ranked lists in terms of group fairness and relevance, where the groups (i.e., possible attribute values) can be either n…
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers
Boseop Kim, HyoungSeok Kim, Sang-Woo Lee +34
GPT-3 shows remarkable in-context learning ability of large-scale language models (LMs) trained on hundreds of billion scale data. Here we address some remaining issues less report…
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…
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…