April 24, 2024, 4:47 a.m. | Ronald Xie, Steven Palayew, Augustin Toma, Gary Bader, Bo Wang

cs.CL updates on arXiv.org arxiv.org

arXiv:2404.14567v1 Announce Type: new
Abstract: This paper outlines our submission to the MEDIQA2024 Multilingual and Multimodal Medical Answer Generation (M3G) shared task. We report results for two standalone solutions under the English category of the task, the first involving two consecutive API calls to the Claude 3 Opus API and the second involving training an image-disease label joint embedding in the style of CLIP for image classification. These two solutions scored 1st and 2nd place respectively on the competition leaderboard, …

abstract api arxiv claude claude 3 claude 3 opus cs.cl english language language models large language large language models medical multilingual multimodal opus outlines paper report results solutions type

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