{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/examining-cooperation-in-visual-dialog-models","title":"Examining Cooperation in Visual Dialog Models","arxiv_id":"1712.01329","date":"2017-12-04","proceeding":null,"authors":["Mircea Mironenco","Dana Kianfar","Ke Tran","Evangelos Kanoulas","Efstratios Gavves"],"abstract":"In this work we propose a blackbox intervention method for visual dialog\nmodels, with the aim of assessing the contribution of individual linguistic or\nvisual components. Concretely, we conduct structured or randomized\ninterventions that aim to impair an individual component of the model, and\nobserve changes in task performance. We reproduce a state-of-the-art visual\ndialog model and demonstrate that our methodology yields surprising insights,\nnamely that both dialog and image information have minimal contributions to\ntask performance. The intervention method presented here can be applied as a\nsanity check for the strength and robustness of each component in visual dialog\nsystems.","url_abs":"http://arxiv.org/abs/1712.01329v1","url_pdf":"http://arxiv.org/pdf/1712.01329v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"examining-cooperation-in-visual-dialog-models","repo_url":"https://github.com/danakianfar/Examining-Cooperation-in-VDM","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"pytorch","reach":null}],"tasks":[{"task_slug":"visual-dialogue","task_name":"Visual Dialog"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}