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Meeyoung Cha

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I Am Not Them: Fluid Identities and Persistent Out-group Bias in Large Language Models

Feb 16, 2024
Wenchao Dong, Assem Zhunis, Hyojin Chin, Jiyoung Han, Meeyoung Cha

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Self Supervised Vision for Climate Downscaling

Jan 09, 2024
Karandeep Singh, Chaeyoon Jeong, Naufal Shidqi, Sungwon Park, Arjun Nellikkattil, Elke Zeller, Meeyoung Cha

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Explainable Product Classification for Customs

Nov 18, 2023
Eunji Lee, Sihyeon Kim, Sundong Kim, Soyeon Jung, Heeja Kim, Meeyoung Cha

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Factuality Challenges in the Era of Large Language Models

Oct 10, 2023
Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, Tanmoy Chakraborty, Giovanni Luca Ciampaglia, David Corney, Renee DiResta, Emilio Ferrara, Scott Hale, Alon Halevy, Eduard Hovy, Heng Ji, Filippo Menczer, Ruben Miguez, Preslav Nakov, Dietram Scheufele, Shivam Sharma, Giovanni Zagni

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Towards Attack-tolerant Federated Learning via Critical Parameter Analysis

Aug 18, 2023
Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha

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FedDefender: Client-Side Attack-Tolerant Federated Learning

Jul 18, 2023
Sungwon Park, Sungwon Han, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha

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SQuARe: A Large-Scale Dataset of Sensitive Questions and Acceptable Responses Created Through Human-Machine Collaboration

May 28, 2023
Hwaran Lee, Seokhee Hong, Joonsuk Park, Takyoung Kim, Meeyoung Cha, Yejin Choi, Byoung Pil Kim, Gunhee Kim, Eun-Ju Lee, Yong Lim, Alice Oh, Sangchul Park, Jung-Woo Ha

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Blaming Humans and Machines: What Shapes People's Reactions to Algorithmic Harm

Apr 05, 2023
Gabriel Lima, Nina Grgić-Hlača, Meeyoung Cha

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DualFair: Fair Representation Learning at Both Group and Individual Levels via Contrastive Self-supervision

Mar 15, 2023
Sungwon Han, Seungeon Lee, Fangzhao Wu, Sundong Kim, Chuhan Wu, Xiting Wang, Xing Xie, Meeyoung Cha

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Detecting Contextomized Quotes in News Headlines by Contrastive Learning

Feb 09, 2023
Seonyeong Song, Hyeonho Song, Kunwoo Park, Jiyoung Han, Meeyoung Cha

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