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Large Language Models (LLMs) have fundamentally reshaped Argument Mining (AM), shifting it from a pipeline of supervised, task-specific classifiers to a spectrum of prompt-driven, retrieval-augmented, and reasoning-oriented paradigms. Yet…

Computation and Language · Computer Science 2025-11-26 Hao Li , Viktor Schlegel , Yizheng Sun , Riza Batista-Navarro , Goran Nenadic

Large Language Models (LLMs) have revolutionized various fields with their exceptional capabilities in understanding, processing, and generating human-like text. This paper investigates the potential of LLMs in advancing Network Intrusion…

Cryptography and Security · Computer Science 2025-07-08 Shuo Yang , Xinran Zheng , Xinchen Zhang , Jinfeng Xu , Jinze Li , Donglin Xie , Weicai Long , Edith C. H. Ngai

A Large Language Model (LLM) represents a cutting-edge artificial intelligence model that generates coherent content, including grammatically precise sentences, human-like paragraphs, and syntactically accurate code snippets. LLMs can play…

Software Engineering · Computer Science 2023-12-11 Robson Santos , Italo Santos , Cleyton Magalhaes , Ronnie de Souza Santos

This paper presents and evaluates work on the development of an artificial intelligence (AI) anti-bullying system. The system is designed to identify coordinated bullying attacks via social media and other mechanisms, characterize them and…

Artificial Intelligence · Computer Science 2024-08-21 Matthew Tassava , Cameron Kolodjski , Jordan Milbrath , Adorah Bishop , Nathan Flanders , Robbie Fetsch , Danielle Hanson , Jeremy Straub

Large Language Models (LLMs) have gained prominence in various applications, including security. This paper explores the utility of LLMs in scam detection, a critical aspect of cybersecurity. Unlike traditional applications, we propose a…

Cryptography and Security · Computer Science 2024-02-06 Liming Jiang

The rapid emergence of Large Language Models (LLMs) has precipitated a profound paradigm shift in Artificial Intelligence, delivering monumental engineering successes that increasingly impact modern society. However, a critical paradox…

Computation and Language · Computer Science 2026-03-13 Zeyu Gan , Ruifeng Ren , Wei Yao , Xiaolin Hu , Gengze Xu , Chen Qian , Huayi Tang , Zixuan Gong , Xinhao Yao , Pengwei Tang , Zhenxing Dou , Yong Liu

Software vulnerability detection is generally supported by automated static analysis tools, which have recently been reinforced by deep learning (DL) models. However, despite the superior performance of DL-based approaches over rule-based…

Software Engineering · Computer Science 2024-05-03 Yanjing Yang , Xin Zhou , Runfeng Mao , Jinwei Xu , Lanxin Yang , Yu Zhangm , Haifeng Shen , He Zhang

Automated unit test generation is critical for software quality but traditional structure-driven methods often lack the semantic understanding required to produce realistic inputs and oracles. Large language models (LLMs) address this…

Software Engineering · Computer Science 2026-01-01 Bei Chu , Yang Feng , Kui Liu , Zhaoqiang Guo , Yichi Zhang , Hange Shi , Zifan Nan , Baowen Xu

For data-constrained, complex and dynamic industrial environments, there is a critical need for transferable and multimodal methodologies to enhance anomaly detection and therefore, prevent costs associated with system failures. Typically,…

Large Language Models (LLMs) have recently emerged as powerful tools in cybersecurity, offering advanced capabilities in malware detection, generation, and real-time monitoring. Numerous studies have explored their application in…

Cryptography and Security · Computer Science 2025-04-11 Hamed Jelodar , Samita Bai , Parisa Hamedi , Hesamodin Mohammadian , Roozbeh Razavi-Far , Ali Ghorbani

With the rapid advancement of artificial intelligence, Large Language Models (LLMs) have shown remarkable capabilities in Natural Language Processing (NLP), including content generation, human-computer interaction, machine translation, and…

Computation and Language · Computer Science 2025-10-31 Songyang Liu , Chaozhuo Li , Jiameng Qiu , Xi Zhang , Feiran Huang , Litian Zhang , Yiming Hei , Philip S. Yu

Large Language Models (LLMs) represent a transformative leap in artificial intelligence, enabling the comprehension, generation, and nuanced interaction with human language on an unparalleled scale. However, LLMs are increasingly vulnerable…

Cryptography and Security · Computer Science 2025-02-06 Nan Wang , Kane Walter , Yansong Gao , Alsharif Abuadbba

Ensuring the security of large language models (LLMs) is an ongoing challenge despite their widespread popularity. Developers work to enhance LLMs security, but vulnerabilities persist, even in advanced versions like GPT-4. Attackers…

Cryptography and Security · Computer Science 2023-12-19 Aysan Esmradi , Daniel Wankit Yip , Chun Fai Chan

Large Language Models (LLMs), which bridge the gap between human language understanding and complex problem-solving, achieve state-of-the-art performance on several NLP tasks, particularly in few-shot and zero-shot settings. Despite the…

Cryptography and Security · Computer Science 2025-01-07 Shuai Zhao , Meihuizi Jia , Zhongliang Guo , Leilei Gan , Xiaoyu Xu , Xiaobao Wu , Jie Fu , Yichao Feng , Fengjun Pan , Luu Anh Tuan

Social media platforms enable instant and ubiquitous connectivity and are essential to social interaction and communication in our technological society. Apart from its advantages, these platforms have given rise to negative behaviors in…

Social and Information Networks · Computer Science 2025-05-08 Silvia García-Méndez , Francisco De Arriba-Pérez

As multiple crises threaten the sustainability of our societies and pose at risk the planetary boundaries, complex challenges require timely, updated, and usable information. Natural-language processing (NLP) tools enhance and expand data…

Computers and Society · Computer Science 2025-02-05 Francesca Larosa , Sergio Hoyas , H. Alberto Conejero , Javier Garcia-Martinez , Francesco Fuso Nerini , Ricardo Vinuesa

With the rise of Large Language Models (LLMs) in recent years, abundant new opportunities are emerging, but also new challenges, among which contamination is quickly becoming critical. Business applications and fundraising in Artificial…

Computation and Language · Computer Science 2025-07-11 Mathieu Ravaut , Bosheng Ding , Fangkai Jiao , Hailin Chen , Xingxuan Li , Ruochen Zhao , Chengwei Qin , Caiming Xiong , Shafiq Joty

Algorithm design is crucial for effective problem-solving across various domains. The advent of Large Language Models (LLMs) has notably enhanced the automation and innovation within this field, offering new perspectives and promising…

Machine Learning · Computer Science 2026-01-06 Fei Liu , Yiming Yao , Ping Guo , Zhiyuan Yang , Zhe Zhao , Xi Lin , Xialiang Tong , Kun Mao , Zhichao Lu , Zhenkun Wang , Mingxuan Yuan , Qingfu Zhang

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) demonstrate impressive capabilities across various fields, yet their increasing use raises critical security concerns. This article reviews recent literature addressing key issues in LLM security, with a focus…

Cryptography and Security · Computer Science 2025-11-26 Benji Peng , Keyu Chen , Ming Li , Pohsun Feng , Ziqian Bi , Junyu Liu , Xinyuan Song , Qian Niu
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