Search Results - "Won, Seungpil"

Collaborative Training of Gans in Continuous and Discrete Spaces for Text Generation by Kim, Yanghoon, Won, Seungpil, Yoon, Seunghyun, Jung, Kyomin

“…Applying generative adversarial networks (GANs) to text-related tasks is challenging due to the discrete nature of language. One line of research resolves this…”
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Partition-Merge: Distributed Inference and Modularity Optimization by Blondel, Vincent, Jung, Kyomin, Kohli, Pushmeet, Shah, Devavrat, Won, Seungpil

“…This paper presents a novel meta-algorithm, Partition-Merge (PM), which takes existing centralized algorithms for graph computation and makes them distributed…”
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CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models by Lee, Minwoo, Won, Seungpil, Kim, Juae, Lee, Hwanhee, Park, Cheoneum, Jung, Kyomin

“…Fact verification datasets are typically constructed using crowdsourcing techniques due to the lack of text sources with veracity labels. However, the…”
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Knowledge Entropy Decay during Language Model Pretraining Hinders New Knowledge Acquisition by Kim, Jiyeon, Lee, Hyunji, Cho, Hyowon, Jang, Joel, Hwang, Hyeonbin, Won, Seungpil, Ahn, Youbin, Lee, Dohaeng, Seo, Minjoon

“…In this work, we investigate how a model's tendency to broadly integrate its parametric knowledge evolves throughout pretraining, and how this behavior affects…”
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Collaborative Training of GANs in Continuous and Discrete Spaces for Text Generation by Kim, Yanghoon, Won, Seungpil, Yoon, Seunghyun, Jung, Kyomin

“…Applying generative adversarial networks (GANs) to text-related tasks is challenging due to the discrete nature of language. One line of research resolves this…”
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Detecting Incongruity Between News Headline and Body Text via a Deep Hierarchical Encoder by Yoon, Seunghyun, Park, Kunwoo, Shin, Joongbo, Lim, Hongjun, Won, Seungpil, Cha, Meeyoung, Jung, Kyomin

“…Some news headlines mislead readers with overrated or false information, and identifying them in advance will better assist readers in choosing proper news…”
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