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This paper explores the pressing issue of risk assessment in Large Language Models (LLMs) as they become increasingly prevalent in various applications. Focusing on how reward models, which are designed to fine-tune pretrained LLMs to align…

Computation and Language · Computer Science 2024-03-25 Bahareh Harandizadeh , Abel Salinas , Fred Morstatter

This paper studies the integration off Large Language Models into cybersecurity tools and protocols. The main issue discussed in this paper is how traditional rule-based and signature based security systems are not enough to deal with…

Cryptography and Security · Computer Science 2025-11-07 Raunak Somani , Aswani Kumar Cherukuri

Using LLMs in healthcare, Computer-Supported Cooperative Work, and Social Computing requires the examination of ethical and social norms to ensure safe incorporation into human life. We conducted a mixed-method study, including an online…

Computers and Society · Computer Science 2025-04-28 Omid Veisi , Sasan Bahrami , Roman Englert , Claudia Müller

Large Language Models (LLMs) have transformed artificial intelligence by advancing natural language understanding and generation, enabling applications across fields beyond healthcare, software engineering, and conversational systems.…

Large Language Model (LLMs) such as ChatGPT that exhibit generative AI capabilities are facing accelerated adoption and innovation. The increased presence of Generative AI (GAI) inevitably raises concerns about the risks and safety…

Computers and Society · Computer Science 2024-07-29 Jaymari Chua , Yun Li , Shiyi Yang , Chen Wang , Lina Yao

Large Language Models (LLMs) are transforming mental health care by enhancing accessibility, personalization, and efficiency in therapeutic interventions. These AI-driven tools empower mental health professionals with real-time support,…

Computers and Society · Computer Science 2025-01-22 Hari Mohan Pandey

Recent advancements in Large Language Models (LLMs), such as ChatGPT and LLaMA, have significantly transformed Natural Language Processing (NLP) with their outstanding abilities in text generation, summarization, and classification.…

Computation and Language · Computer Science 2024-08-12 Md Nazmus Sakib , Md Athikul Islam , Royal Pathak , Md Mashrur Arifin

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

In recent years, Large Language Models (LLMs) have garnered considerable attention for their remarkable abilities in natural language processing tasks. However, their widespread adoption has raised concerns pertaining to trust and safety.…

Artificial Intelligence · Computer Science 2025-07-01 Doohee You , Dan Chon

The remarkable capabilities of Large Language Models (LLMs) make them increasingly compelling for adoption in real-world healthcare applications. However, the risks associated with using LLMs in medical applications have not been…

Large language models (LLMs) are complex artificial intelligence systems capable of understanding, generating and translating human language. They learn language patterns by analyzing large amounts of text data, allowing them to perform…

Cryptography and Security · Computer Science 2024-03-15 Biwei Yan , Kun Li , Minghui Xu , Yueyan Dong , Yue Zhang , Zhaochun Ren , Xiuzhen Cheng

Recent advances in Large Language Models (LLMs) have enabled human-like responses across various tasks, raising questions about their ethical decision-making capabilities and potential biases. This study systematically evaluates how nine…

Computers and Society · Computer Science 2025-11-03 Wentao Xu , Yile Yan , Yuqi Zhu

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) have become increasingly sophisticated, leading to widespread deployment in sensitive applications where safety and reliability are paramount. However, LLMs have inherent risks accompanying them, including bias,…

Cryptography and Security · Computer Science 2024-06-21 Suriya Ganesh Ayyamperumal , Limin Ge

As ChatGPT and other Large Language Model (LLM)-based AI chatbots become increasingly integrated into individuals' daily lives, important research questions arise. What concerns and risks do these systems pose for individual users? What…

Computers and Society · Computer Science 2025-08-15 Chengen Wang , Murat Kantarcioglu

Large language models (LLMs) represent significant breakthroughs in artificial intelligence and hold potential for applications within smart grids. However, as demonstrated in previous literature, AI technologies are susceptible to various…

Cryptography and Security · Computer Science 2025-04-22 Jiangnan Li , Yingyuan Yang , Jinyuan Sun

Large language models are increasingly applied in real-world scenarios, including research and education. These models, however, come with well-known ethical issues, which may manifest in unexpected ways in human-computer interaction…

Human-Computer Interaction · Computer Science 2024-04-01 Shivani Kapania , Ruiyi Wang , Toby Jia-Jun Li , Tianshi Li , Hong Shen

Large Language Model (LLM) systems are inherently compositional, with individual LLM serving as the core foundation with additional layers of objects such as plugins, sandbox, and so on. Along with the great potential, there are also…

Cryptography and Security · Computer Science 2024-03-01 Fangzhou Wu , Ning Zhang , Somesh Jha , Patrick McDaniel , Chaowei Xiao

This report explores the convergence of large language models (LLMs) and cybersecurity, synthesizing interdisciplinary insights from network security, artificial intelligence, formal methods, and human-centered design. It examines emerging…

Cryptography and Security · Computer Science 2025-05-05 Tao Li , Ya-Ting Yang , Yunian Pan , Quanyan Zhu

There have been rapid advancements in the capabilities of large language models (LLMs) in recent years, greatly revolutionizing the field of natural language processing (NLP) and artificial intelligence (AI) to understand and interact with…

Computation and Language · Computer Science 2024-09-26 Zeyneb N. Kaya , Souvick Ghosh