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Large Language Models (LLMs) can revolutionize how we deploy and operate Open Radio Access Networks (O-RAN) by enhancing network analytics, anomaly detection, and code generation and significantly increasing the efficiency and reliability…

Networking and Internet Architecture · Computer Science 2024-07-16 Pranshav Gajjar , Vijay K. Shah

Extremely large-scale massive multiple-input multiple-output (XL-MIMO) is a key enabler for sixth-generation (6G) networks, offering massive spatial degrees of freedom. Despite these advantages, the coexistence of near-field and far-field…

Machine Learning · Computer Science 2025-12-11 Renbin Li , Shuangshuang Li , Peihao Dong

A Language Model is a term that encompasses various types of models designed to understand and generate human communication. Large Language Models (LLMs) have gained significant attention due to their ability to process text with human-like…

Computation and Language · Computer Science 2024-06-12 Sylvio Barbon Junior , Paolo Ceravolo , Sven Groppe , Mustafa Jarrar , Samira Maghool , Florence Sèdes , Soror Sahri , Maurice Van Keulen

Large Language Models (LLMs) are trained on massive amounts of data, enabling their application across diverse domains and tasks. Despite their remarkable performance, most LLMs are developed and evaluated primarily in English. Recently, a…

Computation and Language · Computer Science 2024-10-18 Krishno Dey , Prerona Tarannum , Md. Arid Hasan , Imran Razzak , Usman Naseem

Large language models (LLMs) have shown continuously improving multilingual capabilities, and even small-scale open-source models have demonstrated rapid performance enhancement. In this paper, we systematically explore the abilities of…

Computation and Language · Computer Science 2025-02-25 Menglong Cui , Pengzhi Gao , Wei Liu , Jian Luan , Bin Wang

Large Language Models (LLMs) are distinguished by their architecture, which dictates their parameter size and performance capabilities. Social scientists have increasingly adopted LLMs for text classification tasks, which are difficult to…

Computation and Language · Computer Science 2024-11-05 Marcello Carammia , Stefano Maria Iacus , Giuseppe Porro

Native Language Identification (NLI) - the task of identifying the native language (L1) of a person based on their writing in the second language (L2) - has applications in forensics, marketing, and second language acquisition.…

Computation and Language · Computer Science 2025-01-22 Yee Man Ng , Ilia Markov

The advent of Large Language Models (LLM) has revolutionized the efficiency and speed with which tasks are completed, marking a significant leap in productivity through technological innovation. As these chatbots tackle increasingly complex…

Software Engineering · Computer Science 2024-05-24 Luc Bryan Heitz , Joun Chamas , Christopher Scherb

Introduction: Large language models (LLMs) can process requests and generate texts, but their feasibility for assessing complex academic content needs further investigation. To explore LLM's potential in assisting scientific review, this…

Computation and Language · Computer Science 2026-01-29 Yinuo Liu , Emre Sezgin , Eric A. Youngstrom

The advent of Large Language Models (LLMs) has revolutionized code completion, transforming it into a more intelligent and context-aware feature in modern integrated development environments. These advancements have significantly enhanced…

Software Engineering · Computer Science 2025-02-24 Hang Zhang , Yanxin Shen , Lun Wang , Chuanqi Shi , Shaoshuai Du , Yiyi Tao , Yixian Shen

Artificial intelligence (AI) is widely deployed to solve problems related to marketing attribution and budget optimization. However, AI models can be quite complex, and it can be difficult to understand model workings and insights without…

Computation and Language · Computer Science 2024-04-23 Yilin Gao , Sai Kumar Arava , Yancheng Li , James W. Snyder

Artificially intelligent (AI) co-scientists must be able to sift through research literature cost-efficiently while applying nuanced scientific reasoning. We evaluate Small Language Models (SLMs, <= 8B parameters) for classifying medical…

Computational Engineering, Finance, and Science · Computer Science 2025-12-09 Muhammed Muaaz Dawood , Mohammad Zaid Moonsamy , Kaela Kokkas , Hairong Wang , Robert F. Breiman , Richard Klein , Emmanuel K. Sekyi , Bruce A. Bassett

The exponential growth of information presents a significant challenge for researchers and professionals seeking to remain at the forefront of their fields and this paper introduces an innovative framework for automatically generating…

Computational Engineering, Finance, and Science · Computer Science 2025-10-30 Andrei Lazarev , Dmitrii Sedov

Proprietary Large Language Models (LLMs) such as GPT-4 and Gemini have demonstrated promising capabilities in clinical text summarization tasks. However, due to patient data privacy concerns and computational costs, many healthcare…

Large Language Models (LLMs) have shown strong generalization across tasks in high-resource languages; however, their linguistic competence in low-resource and morphologically rich languages such as Tamil remains largely unexplored.…

Computation and Language · Computer Science 2025-11-18 Jeyarajalingam Varsha , Menan Velayuthan , Sumirtha Karunakaran , Rasan Nivethiga , Kengatharaiyer Sarveswaran

Modern astronomical surveys deliver immense volumes of transient detections, yet distinguishing real astrophysical signals (for example, explosive events) from bogus imaging artefacts remains a challenge. Convolutional neural networks are…

Instrumentation and Methods for Astrophysics · Physics 2025-10-09 Fiorenzo Stoppa , Turan Bulmus , Steven Bloemen , Stephen J. Smartt , Paul J. Groot , Paul Vreeswijk , Ken W. Smith

The evolution of wireless networks gravitates towards connected intelligence, a concept that envisions seamless interconnectivity among humans, objects, and intelligence in a hyper-connected cyber-physical world. Edge artificial…

Information Theory · Computer Science 2023-12-27 Yifei Shen , Jiawei Shao , Xinjie Zhang , Zehong Lin , Hao Pan , Dongsheng Li , Jun Zhang , Khaled B. Letaief

With the release of OpenAI's ChatGPT, the field of large language models (LLM) saw an increase of academic interest in GPT based chat assistants. In the next few months multiple accesible large language models were released that included…

Cryptography and Security · Computer Science 2024-02-14 Shariq Murtuza

The emergence of large language models (LLMs) has revolutionized artificial intelligence, offering unprecedented capabilities in reasoning, generalization, and zero-shot learning. These strengths open new frontiers in wireless…

Artificial Intelligence · Computer Science 2026-03-18 Le Liang , Hao Ye , Yucheng Sheng , Ouya Wang , Jiacheng Wang , Shi Jin , Geoffrey Ye Li

The rapid evolution of network infrastructure is bringing new challenges and opportunities for efficient network management, optimization, and security. With very large monitoring databases becoming expensive to explore, the use of AI and…

Networking and Internet Architecture · Computer Science 2025-07-31 Hong-Jun Yoon , Mariam Kiran , Danial Ebling , Joe Breen