Article Instance

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{
    "pk": 24107,
    "title": "The Face of a Character called Gmork",
    "subtitle": null,
    "abstract": "We used cross-modal generative AI models, which rely on the\nContrastive Language-Image Pretraining (CLIP) encoder, to\ngenerate portraits of fictional characters based on their names.\nWe then studied to what extent image generation captures\nnames' gender and age connotations when information from\nlinguistic distribution is rich and informative (talking names,\ne.g., Bolt), present but possibly uninformative (real names,\ne.g., John), and absent (made-up names, e.g., Arobynn). Three\npre-trained Computer Vision classifiers for each attribute ex-\nhibit reliable agreement in classifying generated images, also\nfor made-up names. We further show a robust correlation\nbetween the classifiers' confidence in detecting an attribute\nand the ratings provided by participants in an online survey\nabout how suitable each name is for characters bearing a cer-\ntain attribute. These models and their learning strategies can\nshed light on mechanisms that support human learning of non-\narbitrary form-meaning mappings.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Linguistics; Natural Language Processing; Semantics; Computational Modeling; Large Language Models"
        }
    ],
    "section": "Papers with Poster Presentation",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/8jt0d5cv",
    "frozenauthors": [
        {
            "first_name": "Marco",
            "middle_name": "",
            "last_name": "Bragoni",
            "name_suffix": "",
            "institution": "Tilburg University",
            "department": ""
        },
        {
            "first_name": "Giovanni",
            "middle_name": "",
            "last_name": "Cassani",
            "name_suffix": "",
            "institution": "Tilburg University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2024-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/24107/galley/13701/download/"
        },
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/24107/galley/21623/download/"
        }
    ]
}