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Large language models (LLMs) have achieved remarkable progress across domains and applications but face challenges such as high fine-tuning costs, inference latency, limited edge deployability, and reliability concerns. Small language…

Computation and Language · Computer Science 2025-11-06 Fali Wang , Jihai Chen , Shuhua Yang , Ali Al-Lawati , Linli Tang , Hui Liu , Suhang Wang

Large language models (LLMs) have demonstrated emergent abilities in text generation, question answering, and reasoning, facilitating various tasks and domains. Despite their proficiency in various tasks, LLMs like PaLM 540B and Llama-3.1…

Computation and Language · Computer Science 2024-12-31 Fali Wang , Zhiwei Zhang , Xianren Zhang , Zongyu Wu , Tzuhao Mo , Qiuhao Lu , Wanjing Wang , Rui Li , Junjie Xu , Xianfeng Tang , Qi He , Yao Ma , Ming Huang , Suhang Wang

The evolution of Large Language Models (LLMs) has showcased remarkable capacities for logical reasoning and natural language comprehension. These capabilities can be leveraged in solutions that semantically and textually model complex…

Human-Computer Interaction · Computer Science 2024-04-17 Syed Mekael Wasti , Ken Q. Pu , Ali Neshati

With the proliferation of edge devices, there is a significant increase in attack surface on these devices. The decentralized deployment of threat intelligence on edge devices, coupled with adaptive machine learning techniques such as the…

Cryptography and Security · Computer Science 2024-10-10 Syed Mhamudul Hasan , Alaa M. Alotaibi , Sajedul Talukder , Abdur R. Shahid

The advent of Large Language Models (LLMs) has ushered in a new era for design science in Information Systems, demanding a paradigm shift in tailoring LLMs design for business contexts. We propose and test a novel framework to customize…

Computers and Society · Computer Science 2024-05-15 Wen Wang , Zhenyue Zhao , Tianshu Sun

Large Language Models (LLMs) have garnered significant attention due to their remarkable ability to process information across various languages. Despite their capabilities, they exhibit inconsistencies in handling identical queries in…

Computation and Language · Computer Science 2024-06-24 Yue Huang , Chenrui Fan , Yuan Li , Siyuan Wu , Tianyi Zhou , Xiangliang Zhang , Lichao Sun

Urban computing has emerged as a multidisciplinary field that harnesses data-driven technologies to address challenges and improve urban living. Traditional approaches, while beneficial, often face challenges with generalization,…

Computers and Society · Computer Science 2025-11-11 Zhonghang Li , Lianghao Xia , Xubin Ren , Jiabin Tang , Tianyi Chen , Yong Xu , Chao Huang

Large Language Models (LLMs) have emerged as powerful tools in various research domains. This article examines their potential through a literature review and firsthand experimentation. While LLMs offer benefits like cost-effectiveness and…

Human-Computer Interaction · Computer Science 2024-04-10 M. Namvarpour , A. Razi

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

In an era defined by the explosive growth of data and rapid technological advancements, Multimodal Large Language Models (MLLMs) stand at the forefront of artificial intelligence (AI) systems. Designed to seamlessly integrate diverse data…

The rapid advancement of large language models (LLMs) has revolutionized artificial intelligence, introducing unprecedented capabilities in natural language processing and multimodal content generation. However, the increasing complexity…

Software Engineering · Computer Science 2024-11-27 Shenao Wang , Yanjie Zhao , Xinyi Hou , Haoyu Wang

Large Language Models (LLMs) have demonstrated their remarkable capabilities in numerous fields. This survey focuses on how LLMs empower users, regardless of their technical background, to use human languages to automatically generate…

Software Engineering · Computer Science 2025-04-03 Nam Huynh , Beiyu Lin

Competency modeling is widely used in human resource management to select, develop, and evaluate talent. However, traditional expert-driven approaches rely heavily on manual analysis of large volumes of interview transcripts, making them…

Computation and Language · Computer Science 2026-02-16 Silin Du , Manqing Xin , Raymond Jia Wang

Since the advent of GPT, large language models (LLMs) have brought about revolutionary advancements in all walks of life. As a superior natural language processing (NLP) technology, LLMs have consistently achieved state-of-the-art…

Networking and Internet Architecture · Computer Science 2024-06-26 Danshi Wang , Yidi Wang , Xiaotian Jiang , Yao Zhang , Yue Pang , Min Zhang

Large Language Models (LLMs) have demonstrated their transformative potential across numerous disciplinary studies, reshaping the existing research methodologies and fostering interdisciplinary collaboration. However, a systematic…

Computation and Language · Computer Science 2025-07-14 Lu Xiang , Yang Zhao , Yaping Zhang , Chengqing Zong

Large Language Models (LLMs) like GPT and LLaMA are revolutionizing the AI industry with their sophisticated capabilities. Training these models requires vast GPU clusters and significant computing time, posing major challenges in terms of…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-07-30 Jiangfei Duan , Shuo Zhang , Zerui Wang , Lijuan Jiang , Wenwen Qu , Qinghao Hu , Guoteng Wang , Qizhen Weng , Hang Yan , Xingcheng Zhang , Xipeng Qiu , Dahua Lin , Yonggang Wen , Xin Jin , Tianwei Zhang , Peng Sun

Interpretable machine learning has exploded as an area of interest over the last decade, sparked by the rise of increasingly large datasets and deep neural networks. Simultaneously, large language models (LLMs) have demonstrated remarkable…

Computation and Language · Computer Science 2024-02-06 Chandan Singh , Jeevana Priya Inala , Michel Galley , Rich Caruana , Jianfeng Gao

Large language models (LLMs), which have shown remarkable capabilities, are revolutionizing AI development and potentially shaping our future. However, given their multimodality, the status quo cloud-based deployment faces some critical…

Machine Learning · Computer Science 2025-06-05 Zheng Lin , Guanqiao Qu , Qiyuan Chen , Xianhao Chen , Zhe Chen , Kaibin Huang

Language is essentially a complex, intricate system of human expressions governed by grammatical rules. It poses a significant challenge to develop capable AI algorithms for comprehending and grasping a language. As a major approach,…

Large Language Models (LLMs) have revolutionized various aspects of engineering and science. Their utility is often bottlenecked by the lack of interaction with the external digital environment. To overcome this limitation and achieve…

Software Engineering · Computer Science 2024-12-24 Ioannis Tzachristas
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