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[논문리뷰] SQUARE: A Large-Scale Dataset of Sensitive Questions and AcceptableResponses Created Through Human-Machine Collaboration

본 논문은 ACL 2023에 채택된 논문이다. 저자는 Hwaran Lee1,2,⋆ Seokhee Hong3,⋆,♯ Joonsuk Park1,2,4 Takyoung Kim1,♯ Meeyoung Cha5,6 Yejin Choi7 Byoung Pil Kim5 Gunhee Kim3 Eun-Ju Lee3 Yong Lim3 Alice Oh5 Sangchul Park3 Jung-Woo Ha1,2 (1NAVER AI Lab 2NAVER Cloud 3Seoul National University 4University of Richmond 5KAIST 6 IBS 7University of Washington) 이다. https://arxiv.org/abs/2305.17696 1. Motivation Large Langua..

논문리뷰 2024.02.17

a M.S. student in Artificial Intelligence at Sogang University. https://sites.google.com/view/minyoung-lee

VQA model, sensitive questions, Whitening, Texture Bias, DGSS, normalization, Denormalization, Semantic Segmentation, Time-Series Forecasting, unimodal bias, Unsupervised Domain Adaptation, domain adaptation, Stylized ImageNet, Robustness, contrastive learning, Shape Bias, acceptable response, Domain Generalization, DASS, Domain Shift,

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