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Jul 24, 2023 · We present COCO Multi-Modal Reasoning(COCO-MMR) dataset, a novel dataset that encompasses an extensive collection of open-ended questions, rationales, and ...
Aug 16, 2024 · We introduce the COCO Multi-Modal Reasoning (COCO-MMR) dataset, a comprehensive collection of open-ended questions, rationales, and answers derived from the ...
Unlike previous datasets that rely on multiple-choice questions, our dataset utilizes open-ended questions to more effectively challenge and assess CoT models' ...
Aug 18, 2024 · Unlike previous datasets that rely on multiple-choice questions, our dataset utilizes open-ended questions to more effectively challenge and ...
Sep 4, 2024 · Multimodal reasoning is a critical component in the pursuit of artificial intelligence systems that exhibit human-like intelligence, ...
We present the COCO-MMR, a dataset encompassing a wide array of open-ended questions, rationales, and answers derived from the large object dataset COCO.
Enhancing human-like multimodal reasoning: a new challenging dataset and comprehensive framework. Authors. Wei, Jingxuan; Tan, Cheng; Gao, Zhangyang; Sun ...
Enhancing human-like multimodal reasoning: a new challenging dataset and comprehensive framework ... Authors: Jingxuan Wei; Cheng Tan; Zhangyang Gao; Linzhuang ...
This tutorial aims to deliver a comprehensive review of cutting-edge research in MLLMs, focusing on four key areas: MLLM architecture design, instructional ...
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Multimodal reasoning is a critical component in the pursuit of artificial intelligence systems that exhibit human-like intelligence, especially when tackling ...