随着多模态大模型的迅速发展，图像描述质量的需求愈加凸显。近期，全球科研人员对图像自动文本化技术的关注日益增长。这一领域的研究者们都意识到，模型的性能与训练数据质量之间有着密切的关系，数据在赋予模型能力方面起着决定性作用。
在这一背景下，机器之心AIxiv专栏发挥其在学术和技术内容发布领域的优势，不断报道全球各大高校和企业顶级实验室的最新研究成果。针对图像描述领域存在的质量问题，该专栏强调图像-文本数据集的重要性和其关键作用。当前，这类数据集主要通过网络抓取和人工标注获得，但仍面临质量不均、细节缺失、描述噪音多等问题。
来自香港科技大学的皮仁杰博士三年级学生引人注目。他师从张潼教授和周晓方教授，于2024年获得苹果奖学金，目前主要研究方向是多模态大语言模型和数据为中心的AI。此外，武汉大学本科三年级的张鉴殊同学也在张潼教授的指导下，在大语言模型及多模态大语言模型领域开展研究，目前正寻找博士入学机会。
展望未来，科研人员仍在积极探索提高图像描述质量的新方法，以期在多模态大模型领域取得更多突破。机器之心AIxiv专栏将继续关注并报道这一领域的最新动态和成果，为学术交流与传播搭建良好的平台。欢迎广大读者积极投稿，分享优秀的研究成果。
英语如下：
News Title: “The Rise of Multimodal Large Models: The Close Connection between Image Description Quality Innovation and Data Capability”
Keywords: News
News Content:
News Title: Image Description Quality Improvement Ushers in a New Breakthrough for Multimodal Large Model Development
With the rapid development of multimodal large models, the demand for image description quality has become increasingly prominent. Recently, global researchers have shown increasing interest in image-to-text technology. Researchers in this field have realized that there is a close relationship between model performance and the quality of training data, and data plays a decisive role in endowing models with capabilities.
In this context, the MachineMind AIxiv column, leveraging its advantages in academic and technical content publication, continues to report on the latest research findings from top laboratories at major universities and companies worldwide. Focusing on the quality issues in the field of image description, the column emphasizes the importance and crucial role of image-text datasets. Currently, such datasets are mainly obtained through web scraping and manual annotation, but they still face problems such as uneven quality, missing details, and descriptive noise.
The third-year Ph.D. student Pi Renje from the Hong Kong University of Science and Technology stands out. Under the guidance of Professors Tong Zhang and Xiaofang Zhou, he received the Apple Scholarship in 2024 and is currently mainly researching multimodal large language models and data-centric AI. Additionally, Zhang Jianshu, a junior undergraduate at Wuhan University under the guidance of Professor Tong Zhang, is also conducting research in the field of large language models and multimodal large language models and is currently seeking opportunities for doctoral admission.
Looking ahead, researchers are still exploring new methods to improve image description quality, aiming to make more breakthroughs in the field of multimodal large models. The MachineMind AIxiv column will continue to focus on and report the latest developments and achievements in this field, building a good platform for academic communication and dissemination. We welcome readers to actively contribute and share excellent research results.
【来源】https://www.jiqizhixin.com/articles/2024-06-28-6
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