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Garcia, Noa

  1. Can multiple-choice questions really be useful in detecting the abilities of LLMs?
    2024/03/26 by Wangyue Li, Liangzhi Li, Li, Wangyue +9 · 18 citations
    Business, Management and Accounting · Social Sciences · #Computation and Language (cs.CL) #Employer Branding and e-HRM #FOS: Computer and information sciences #Higher Education Learning Practices #Knowledge Management and Sharing
  2. How to Read Paintings: Semantic Art Understanding with Multi-Modal\n Retrieval
    2018/10/22 by Noa García, George Vogiatzis, Garcia, Noa +1 · 5 citations
    Neuroscience · Computer Science · #Aesthetic Perception and Analysis #Image Retrieval and Classification Techniques #Music and Audio Processing
  3. KnowIT VQA: Answering Knowledge-Based Questions about Videos
    2019/10/23 by Garcia, Noa, Otani, Mayu, Chu, Chenhui +1 · 5 citations
    #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  4. A Dataset and Baselines for Visual Question Answering on Art
    2020/08/28 by Garcia, Noa, Ye, Chentao, Liu, Zihua +5 · 5 citations
    #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  5. Uncurated Image-Text Datasets: Shedding Light on Demographic Bias
    2023/04/06 by Garcia, Noa, Hirota, Yusuke, Wu, Yankun +1 · 9 citations
    #Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #FOS: Computer and information sciences
  6. Stable Diffusion Exposed: Gender Bias from Prompt to Image
    2023/12/05 by Yankun Wu, Yuta Nakashima, Wu, Yankun +3 · 9 citations
    Social Sciences · #Gender Roles and Identity Studies #Media, Gender, and Advertising #Gender, Feminism, and Media
  7. The Met Dataset: Instance-level Recognition for Artworks
    2022/02/03 by Ypsilantis, Nikolaos-Antonios, Garcia, Noa, Han, Guangxing +3 · 5 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  8. Model-Agnostic Gender Debiased Image Captioning
    2023/04/07 by Yusuke Hirota, Yuta Nakashima, Hirota, Yusuke +3 · 4 citations
    Computer Science · #Multimodal Machine Learning Applications
  9. Understanding the Role of Scene Graphs in Visual Question Answering
    2021/01/14 by Vinay Damodaran, Sharanya Chakravarthy, Damodaran, Vinay +13 · 1 citation
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  10. Would Deep Generative Models Amplify Bias in Future Models?
    2024/04/04 by Tianwei Chen, Chen, Tianwei, Yusuke Hirota +7 · 2 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences
  11. Transferring Domain-Agnostic Knowledge in Video Question Answering
    2021/10/26 by Tianran Wu, Noa García, Wu, Tianran +9 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Multimodal Machine Learning Applications
  12. Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation
    2021/09/13 by Bai, Zechen, Nakashima, Yuta, Garcia, Noa · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  13. Quantifying Societal Bias Amplification in Image Captioning
    2022/03/29 by Yusuke Hirota, Yuta Nakashima, Hirota, Yusuke +3 · 3 citations
    Computer Science · Social Sciences · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Misinformation and Its Impacts #Multimedia (cs.MM) #Multimodal Machine Learning Applications
  14. Learning More May Not Be Better: Knowledge Transferability in Vision and Language Tasks
    2022/08/23 by Chen, Tianwei, Garcia, Noa, Otani, Mayu +3 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  15. Gender Bias Evaluation in Text-to-image Generation: A Survey
    2024/08/21 by Yankun Wu, Wu, Yankun, Yuta Nakashima +3 · 1 citation
    Psychology · Social Sciences · #Educational Games and Gamification #Digital Games and Media #Gender Studies in Language
  16. Imposter.AI: Adversarial Attacks with Hidden Intentions towards Aligned Large Language Models
    2024/07/22 by Xiao Liu, Liangzhi Li, Liu, Xiao +11 · 1 citation
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices
  17. Cracking the Code: Enhancing Implicit Hate Speech Detection through Coding Classification
    2025/06/05 by Lu Wei, Liangzhi Li, Wei, Lu +7 · 1 citation
    Computer Science · Psychology · #Hate Speech and Cyberbullying Detection #Emotion and Mood Recognition #Sentiment Analysis and Opinion Mining
  18. EMMA: Concept Erasure Benchmark with Comprehensive Semantic Metrics and Diverse Categories
    2025/12/19 by Lu Wei, Wei, Lu, Yuta Nakashima +3 · 1 citation
    Computer Science · Social Sciences · #Generative Adversarial Networks and Image Synthesis #Ethics and Social Impacts of AI #Misinformation and Its Impacts