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Large Language Models (LLMs) are a powerful technology that augment human skill to create new opportunities, akin to the development of steam engines and the internet. However, LLMs come with a high cost. They require significant computing…

Computers and Society · Computer Science 2024-04-16 Vishwas Sathish , Hannah Lin , Aditya K Kamath , Anish Nyayachavadi

Machine Translation (MT) has greatly advanced over the years due to the developments in deep neural networks. However, the emergence of Large Language Models (LLMs) like GPT-4 and ChatGPT is introducing a new phase in the MT domain. In this…

Computation and Language · Computer Science 2024-04-03 Chenyang Lyu , Zefeng Du , Jitao Xu , Yitao Duan , Minghao Wu , Teresa Lynn , Alham Fikri Aji , Derek F. Wong , Siyou Liu , Longyue Wang

The utilization of large language models (LLMs) in the Healthcare domain has generated both excitement and concern due to their ability to effectively respond to freetext queries with certain professional knowledge. This survey outlines the…

Computation and Language · Computer Science 2025-01-28 Kai He , Rui Mao , Qika Lin , Yucheng Ruan , Xiang Lan , Mengling Feng , Erik Cambria

Large Language Models (LLMs) have demonstrated remarkable capabilities in important tasks such as natural language understanding and language generation, and thus have the potential to make a substantial impact on our society. Such…

Computation and Language · Computer Science 2024-05-24 Zhongwei Wan , Xin Wang , Che Liu , Samiul Alam , Yu Zheng , Jiachen Liu , Zhongnan Qu , Shen Yan , Yi Zhu , Quanlu Zhang , Mosharaf Chowdhury , Mi Zhang

Roadway safety and mobility remain critical challenges for modern transportation systems, demanding innovative analytical frameworks capable of addressing complex, dynamic, and heterogeneous environments. While traditional engineering…

Artificial Intelligence · Computer Science 2025-12-10 Muhammad Monjurul Karim , Yan Shi , Shucheng Zhang , Bingzhang Wang , Mehrdad Nasri , Yinhai Wang

The recent release of very large language models such as PaLM and GPT-4 has made an unprecedented impact in the popular media and public consciousness, giving rise to a mixture of excitement and fear as to their capabilities and potential…

Large Language Models (LLMs) possess substantial reasoning capabilities and are increasingly applied to optimization tasks, particularly in synergy with evolutionary computation. However, while recent surveys have explored specific aspects…

Neural and Evolutionary Computing · Computer Science 2026-01-08 Yisong Zhang , Ran Cheng , Guoxing Yi , Kay Chen Tan

Large language models (LLMs) have strong capabilities in solving diverse natural language processing tasks. However, the safety and security issues of LLM systems have become the major obstacle to their widespread application. Many studies…

Computation and Language · Computer Science 2024-01-12 Tianyu Cui , Yanling Wang , Chuanpu Fu , Yong Xiao , Sijia Li , Xinhao Deng , Yunpeng Liu , Qinglin Zhang , Ziyi Qiu , Peiyang Li , Zhixing Tan , Junwu Xiong , Xinyu Kong , Zujie Wen , Ke Xu , Qi Li

Large Language Models (LLMs) hold the potential to revolutionize autoformalization. The introduction of Lean4, a mathematical programming language, presents an unprecedented opportunity to rigorously assess the autoformalization…

Machine Learning · Computer Science 2024-06-12 Aryan Gulati , Devanshu Ladsaria , Shubhra Mishra , Jasdeep Sidhu , Brando Miranda

Large language models (LLMs), based on transformer architectures, have revolutionized numerous domains within artificial intelligence, science, and engineering due to their exceptional scalability and adaptability. However, the exponential…

Hardware Architecture · Computer Science 2025-07-04 Wenzhe Guo , Joyjit Kundu , Uras Tos , Weijiang Kong , Giuliano Sisto , Timon Evenblij , Manu Perumkunnil

Deploying Large Language Models (LLMs) for question answering (QA) over lengthy contexts is a significant challenge. In industrial settings, this process is often hindered by high computational costs and latency, especially when multiple…

Computation and Language · Computer Science 2025-09-29 Xiliang Zhu , Shi Zong , David Rossouw

The introduction of transformer architecture was a turning point in Natural Language Processing (NLP). Models based on the transformer architecture such as Bidirectional Encoder Representations from Transformers (BERT) and Generative…

Background: The potential of large language models (LLMs) to automate and support pharmacoepidemiologic study design is an emerging area of interest, yet their reliability remains insufficiently characterized. General-purpose LLMs often…

Computation and Language · Computer Science 2026-04-21 Xinyao Zhang , Nicole Sonne Heckmann , Manuela Del Castillo Suero , Francesco Paolo Speca , Maurizio Sessa

This paper presents an analysis of open-source large language models (LLMs) and their application in Retrieval-Augmented Generation (RAG) tasks, specific for enterprise-specific data sets scraped from their websites. With the increasing…

Information Retrieval · Computer Science 2024-06-18 Gautam B , Anupam Purwar

In recent years, Large Language Models (LLMs) like ChatGPT have seen considerable advancements and have been applied in diverse fields. Built on the Transformer architecture, these models are trained on extensive datasets, enabling them to…

Large language models (LLMs) have recently achieved human-level performance on a range of professional and academic benchmarks. The accessibility of these models has lagged behind their performance. State-of-the-art LLMs require costly…

Computation and Language · Computer Science 2023-11-10 Yuvanesh Anand , Zach Nussbaum , Adam Treat , Aaron Miller , Richard Guo , Ben Schmidt , GPT4All Community , Brandon Duderstadt , Andriy Mulyar

Online education platforms, leveraging the internet to distribute education resources, seek to provide convenient education but often fall short in real-time communication with students. They often struggle to address the diverse obstacles…

Artificial Intelligence · Computer Science 2024-04-29 Qingyao Li , Lingyue Fu , Weiming Zhang , Xianyu Chen , Jingwei Yu , Wei Xia , Weinan Zhang , Ruiming Tang , Yong Yu

This paper presents a comprehensive survey of ChatGPT-related (GPT-3.5 and GPT-4) research, state-of-the-art large language models (LLM) from the GPT series, and their prospective applications across diverse domains. Indeed, key innovations…

In recent years, the rapid advancement of Large Language Models (LLMs) such as the Generative Pre-trained Transformer (GPT) has attracted increasing attention due to their potential in a variety of practical applications. The application of…

Artificial Intelligence · Computer Science 2025-04-24 Jinzhou Lin , Han Gao , Xuxiang Feng , Rongtao Xu , Changwei Wang , Man Zhang , Li Guo , Shibiao Xu

Large Language Models (LLMs) as chatbots have drawn remarkable attention thanks to their versatile capability in natural language processing as well as in a wide range of tasks. While there has been great enthusiasm towards adopting such…

Systems and Control · Electrical Eng. & Systems 2024-06-24 Subir Majumder , Lin Dong , Fatemeh Doudi , Yuting Cai , Chao Tian , Dileep Kalathi , Kevin Ding , Anupam A. Thatte , Na Li , Le Xie
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