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Multilingual Massive Multitask Language Understanding (MMMLU) The MMLU is a widely recognized benchmark of general knowledge attained by AI models.

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mmmlu（多语言大规模多任务语言理解）是由openai推出的一个开源数据集，旨在评估和提升人工智能模型在不同语言、认知和文化背景下的性能而设计。mmmlu建立在广受欢迎的大规模多任务语言理解（mmlu）基准的基础上，数据集包含57个不同学科领域的任务，从基础数学到复杂的法律和物理问题，覆盖 ...

2023年2月14日 · In the rapidly advancing field of multi-modal machine learning (MMML), the convergence of multiple data modalities has the potential to reshape various applications. This paper presents a comprehensive overview of the current state, advancements, and challenges of MMML within the sphere of engineering design. The review begins with a deep dive into five fundamental concepts of MMML:multi-modal ...

11-777 - Multimodal Machine Learning - Carnegie Mellon University Multimodal machine learning (MMML) Multimodal machine learning (MMML) is a vibrant multi-disciplinary research field which addresses some of the original goals of artificial intelligence by integrating and modeling multiple communicative modalities, including linguistic, acoustic, and visual messages.

IT之家 9 月 24 日消息，科技媒体 marktechpost 昨日（9 月 23 日）发布博文，报道称 OpenAI 在 Hugging Face 上发布了多语言大规模多任务语言理解（MMMLU）数据集。. 背景. 随着语言模型日益强大，评估其在不同语言、认知和文化背景下的能力已成为当务之急。 OpenAI 决定推出 MMMLU 数据集，通过提供强大的多 ...

一、结论写在前面MMMU基准测试的几个亮点: 精心收集了来自大学考试、测验和教科书的11.5K个多模态问题跨越艺术与设计、商业、科学、健康医学、人文社会科学、技术工程等30个学科和183个子领域包含30种异构的图像类…

原文： 多模态机器学习，英文全称 MultiModal Machine Learning (MMML)，旨在通过机器学习的方法实现处理和理解多源模态信息的能力。 目前比较热门的研究方向是图像、视频、音频、语义之间的多模态学习。 本文将针对多模态学习在深度学习发面的研究方向和应用做相关介绍，主要参考了来自ACL 2017的 ...