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This paper provides a comprehensive survey of the latest research on multilingual large language models (MLLMs). MLLMs not only are able to understand and generate language across linguistic boundaries, but also represent an important…

Computation and Language · Computer Science 2024-11-20 Shaolin Zhu , Supryadi , Shaoyang Xu , Haoran Sun , Leiyu Pan , Menglong Cui , Jiangcun Du , Renren Jin , António Branco , Deyi Xiong

The advent of foundation models has revolutionized the fields of natural language processing and computer vision, paving the way for their application in autonomous driving (AD). This survey presents a comprehensive review of more than 40…

Machine Learning · Computer Science 2024-09-06 Haoxiang Gao , Zhongruo Wang , Yaqian Li , Kaiwen Long , Ming Yang , Yiqing Shen

Background: Biomedical entity normalization is critical to biomedical research because the richness of free-text clinical data, such as progress notes, can often be fully leveraged only after translating words and phrases into structured…

Computation and Language · Computer Science 2024-05-27 Nicholas J Dobbins

The rapid evolution of Multimodal Large Language Models (MLLMs) has brought substantial advancements in artificial intelligence, significantly enhancing the capability to understand and generate multimodal content. While prior studies have…

Artificial Intelligence · Computer Science 2024-09-30 Lin Li , Guikun Chen , Hanrong Shi , Jun Xiao , Long Chen

The rapid progress of Multimodal Large Language Models(MLLMs) has transformed the AI landscape. These models combine pre-trained LLMs with various modality encoders. This integration requires a systematic understanding of how different…

Computation and Language · Computer Science 2025-06-06 Jisu An , Junseok Lee , Jeoungeun Lee , Yongseok Son

Digital health tools have the potential to significantly improve the delivery of healthcare services. However, their adoption remains comparatively limited due, in part, to challenges surrounding usability and trust. Large Language Models…

Computation and Language · Computer Science 2024-03-01 Fergus Imrie , Paulius Rauba , Mihaela van der Schaar

Large language models (LLMs) have shown potential in biomedical applications, leading to efforts to fine-tune them on domain-specific data. However, the effectiveness of this approach remains unclear. This study evaluates the performance of…

The rapid advancement of foundation models in medical imaging represents a significant leap toward enhancing diagnostic accuracy and personalized treatment. However, the deployment of foundation models in healthcare necessitates a rigorous…

Computer Vision and Pattern Recognition · Computer Science 2024-10-08 Congzhen Shi , Ryan Rezai , Jiaxi Yang , Qi Dou , Xiaoxiao Li

Large language models (LLMs) have emerged as transformative tools in medicine, with strong capabilities in language understanding, reasoning, and structured information extraction. Radiation oncology is particularly well suited for LLM…

Large Language Models(LLMs)have become effective tools for natural language processing and have been used in many different fields. This essay offers a succinct summary of various LLM subcategories. The survey emphasizes recent developments…

Computation and Language · Computer Science 2023-07-21 Saurabh Pahune , Manoj Chandrasekharan

This is a book about large language models. As indicated by the title, it primarily focuses on foundational concepts rather than comprehensive coverage of all cutting-edge technologies. The book is structured into five main chapters, each…

Computation and Language · Computer Science 2025-06-17 Tong Xiao , Jingbo Zhu

Large language models (LLMs) are a class of language models that have demonstrated outstanding performance across a range of natural language processing (NLP) tasks and have become a highly sought-after research area, because of their…

Digital Libraries · Computer Science 2023-04-06 Lizhou Fan , Lingyao Li , Zihui Ma , Sanggyu Lee , Huizi Yu , Libby Hemphill

Large language models (LLMs) like GPTs, trained on vast datasets, have demonstrated impressive capabilities in language understanding, reasoning, and planning, achieving human-level performance in various tasks. Most studies focus on…

Artificial Intelligence · Computer Science 2025-05-13 Xun Jiang , Feng Li , Han Zhao , Jiahao Qiu , Jiaying Wang , Jun Shao , Shihao Xu , Shu Zhang , Weiling Chen , Xavier Tang , Yize Chen , Mengyue Wu , Weizhi Ma , Mengdi Wang , Tianqiao Chen

Although traditional statistical techniques and machine learning methods have contributed significantly to genetics and, in particular, inherited disease diagnosis, they often struggle with complex, high-dimensional data, a challenge now…

Machine Learning · Computer Science 2025-08-29 Anton Changalidis , Yury Barbitoff , Yulia Nasykhova , Andrey Glotov

In the fast-evolving domain of artificial intelligence, large language models (LLMs) such as GPT-3 and GPT-4 are revolutionizing the landscapes of finance, healthcare, and law: domains characterized by their reliance on professional…

Computation and Language · Computer Science 2024-11-25 Zhiyu Zoey Chen , Jing Ma , Xinlu Zhang , Nan Hao , An Yan , Armineh Nourbakhsh , Xianjun Yang , Julian McAuley , Linda Petzold , William Yang Wang

Large Language Models (LLMs) have recently emerged as a focal point of research and application, driven by their unprecedented ability to understand and generate text with human-like quality. Even more recently, LLMs have been extended into…

Computation and Language · Computer Science 2024-04-03 Kilian Carolan , Laura Fennelly , Alan F. Smeaton

As Artificial Intelligence (AI) becomes increasingly embedded in healthcare technologies, understanding the maturity of AI in patient-centric applications is critical for evaluating its trustworthiness, transparency, and real-world impact.…

Artificial Intelligence · Computer Science 2025-07-30 Elmira Onagh , Alireza Davoodi , Maleknaz Nayebi

Large Language Models (LLMs) have demonstrated remarkable capabilities across various domains and are moving towards more specialized areas. Recent advanced proprietary models such as GPT-4 and Gemini have achieved significant advancements…

Computation and Language · Computer Science 2024-10-30 Kaiyan Zhang , Sihang Zeng , Ermo Hua , Ning Ding , Zhang-Ren Chen , Zhiyuan Ma , Haoxin Li , Ganqu Cui , Biqing Qi , Xuekai Zhu , Xingtai Lv , Hu Jinfang , Zhiyuan Liu , Bowen Zhou

Multimodal Large Language Models (MLLMs) have tremendous potential to improve the accuracy, availability, and cost-effectiveness of healthcare by providing automated solutions or serving as aids to medical professionals. Despite promising…

Computer Vision and Pattern Recognition · Computer Science 2025-05-22 Mohammad Shahab Sepehri , Zalan Fabian , Maryam Soltanolkotabi , Mahdi Soltanolkotabi

Large language models (LLMs) such as ChatGPT have gained considerable interest across diverse research communities. Their notable ability for text completion and generation has inaugurated a novel paradigm for language-interfaced problem…

Quantitative Methods · Quantitative Biology 2024-02-22 Hengchuang Yin , Zhonghui Gu , Fanhao Wang , Yiparemu Abuduhaibaier , Yanqiao Zhu , Xinming Tu , Xian-Sheng Hua , Xiao Luo , Yizhou Sun