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This review explores the potential of foundation models to advance laboratory automation in the materials and chemical sciences. It emphasizes the dual roles of these models: cognitive functions for experimental planning and data analysis,…

The advent of large language models marks a revolutionary breakthrough in artificial intelligence. With the unprecedented scale of training and model parameters, the capability of large language models has been dramatically improved,…

Information Retrieval · Computer Science 2025-01-16 Jin Chen , Zheng Liu , Xu Huang , Chenwang Wu , Qi Liu , Gangwei Jiang , Yuanhao Pu , Yuxuan Lei , Xiaolong Chen , Xingmei Wang , Defu Lian , Enhong Chen

Brain foundation models bring the foundation model paradigm to the field of neuroscience. Like language and image foundation models, they are general-purpose AI systems pretrained on large-scale datasets that adapt readily to downstream…

Computers and Society · Computer Science 2026-02-04 Margot Hanley , Jiunn-Tyng Yeh , Ryan Rodriguez , Jack Pilkington , Nita Farahany

Modeling environmental ecosystems is essential for effective resource management, sustainable development, and understanding complex ecological processes. However, traditional data-driven methods face challenges in capturing inherently…

Machine Learning · Computer Science 2025-04-08 Runlong Yu , Shengyu Chen , Yiqun Xie , Huaxiu Yao , Jared Willard , Xiaowei Jia

Foundation models offer a new opportunity to redesign existing systems and workflows with a new AI first perspective. However, operationalizing this opportunity faces several challenges and tradeoffs. The goal of this article is to offer an…

Computers and Society · Computer Science 2024-01-26 Peyman Faratin , Ray Garcia , Jacomo Corbo

Large language models (LLMs) represent a new paradigm for processing unstructured data, with applications across an unprecedented range of domains. In this paper, we address, through two arguments, whether the development and application of…

Methodology · Statistics 2026-02-03 Weijie Su

The success of AI models relies on the availability of large, diverse, and high-quality datasets, which can be challenging to obtain due to data scarcity, privacy concerns, and high costs. Synthetic data has emerged as a promising solution…

Computation and Language · Computer Science 2024-08-13 Ruibo Liu , Jerry Wei , Fangyu Liu , Chenglei Si , Yanzhe Zhang , Jinmeng Rao , Steven Zheng , Daiyi Peng , Diyi Yang , Denny Zhou , Andrew M. Dai

The impressive performance of ChatGPT and other foundation-model-based products in human language understanding has prompted both academia and industry to explore how these models can be tailored for specific industries and application…

Artificial Intelligence · Computer Science 2025-09-22 Haolong Chen , Hanzhi Chen , Zijian Zhao , Kaifeng Han , Guangxu Zhu , Yichen Zhao , Ying Du , Wei Xu , Qingjiang Shi

This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts. Over the recent…

Computation and Language · Computer Science 2023-02-20 Gerhard Paaß , Sven Giesselbach

Process-aware information systems offer extensive advantages to companies, facilitating planning, operations, and optimization of day-to-day business activities. However, the time-consuming but required step of designing formal business…

Computation and Language · Computer Science 2024-04-09 Julian Neuberger , Lars Ackermann , Stefan Jablonski

Natural Language Processing is one of the leading application areas in the current resurgence of Artificial Intelligence, spearheaded by Artificial Neural Networks. We show that despite their many successes at performing linguistic tasks,…

Computation and Language · Computer Science 2022-05-17 Csaba Veres

Computing educators and researchers have used programming process data to understand how programs are constructed and what sorts of problems students struggle with. Although such data shows promise for using it for feedback, fully automated…

Computers and Society · Computer Science 2024-11-04 John Edwards , Arto Hellas , Juho Leinonen

Modeling environmental ecosystems is essential for effective resource management, sustainable development, and understanding complex ecological processes. However, traditional methods frequently struggle with the inherent complexity,…

Machine Learning · Computer Science 2025-03-06 Runlong Yu , Shengyu Chen , Yiqun Xie , Xiaowei Jia

How to best use Large Language Models (LLMs) for software engineering is covered in many publications in recent years. However, most of this work focuses on widely-used general purpose programming languages. The utility of LLMs for software…

Software Engineering · Computer Science 2025-11-17 Salim Fares , Steffen Herbold

Foundation models (FMs) such as large language models have revolutionized the field of AI by showing remarkable performance in various tasks. However, they exhibit numerous limitations that prevent their broader adoption in many real-world…

Artificial Intelligence · Computer Science 2024-02-05 Debarun Bhattacharjya , Junkyu Lee , Don Joven Agravante , Balaji Ganesan , Radu Marinescu

Generative models (foundation models) such as LLMs (large language models) are having a large impact on multiple fields. In this work, we propose the use of such models for business decision making. In particular, we combine unstructured…

Computation and Language · Computer Science 2023-08-29 Son The Nguyen , Theja Tulabandhula

This article discusses the opportunities, applications and future directions of large-scale pre-trained models, i.e., foundation models, for analyzing medical images. Medical foundation models have immense potential in solving a wide range…

Image and Video Processing · Electrical Eng. & Systems 2023-11-23 Shaoting Zhang , Dimitris Metaxas

Recent advances in artificial intelligence have witnessed the emergence of large-scale deep learning models capable of interpreting and generating both textual and imaging data. Such models, typically referred to as foundation models, are…

The birth of Foundation Models brought unprecedented results in a wide range of tasks, from language to vision, to robotic control. These models are able to process huge quantities of data, and can extract and develop rich representations,…

Business processes underpin a large number of enterprise operations including processing loan applications, managing invoices, and insurance claims. There is a large opportunity for infusing AI to reduce cost or provide better customer…

Artificial Intelligence · Computer Science 2020-01-22 Steve T. K. Jan , Vatche Ishakian , Vinod Muthusamy