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相关论文: GPT-4 and Safety Case Generation: An Exploratory A…

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Large language models (LLMs) have undergone rapid evolution and achieved remarkable results in recent times. OpenAI's ChatGPT, backed by GPT-3.5 or GPT-4, has gained instant popularity due to its strong capability across a wide range of…

密码学与安全 · 计算机科学 2023-12-12 Fangzhou Wu , Qingzhao Zhang , Ati Priya Bajaj , Tiffany Bao , Ning Zhang , Ruoyu "Fish" Wang , Chaowei Xiao

As large language models (LLMs) rapidly evolve, they bring significant conveniences to our work and daily lives, but also introduce considerable safety risks. These models can generate texts with social biases or unethical content, and…

计算与语言 · 计算机科学 2024-10-30 Zhihao Liu , Chenhui Hu

$ $Large Language Models (LLMs) are being increasingly utilized in various applications, with code generations being a notable example. While previous research has shown that LLMs have the capability to generate both secure and insecure…

Large language models (LLMs) have demonstrated remarkable capabilities in natural language understanding and generation across various domains, including medicine. We present a comprehensive evaluation of GPT-4, a state-of-the-art LLM, on…

计算与语言 · 计算机科学 2023-04-13 Harsha Nori , Nicholas King , Scott Mayer McKinney , Dean Carignan , Eric Horvitz

The disruptive technology provided by large-scale pre-trained language models (LLMs) such as ChatGPT or GPT-4 has received significant attention in several application domains, often with an emphasis on high-level opportunities and…

人机交互 · 计算机科学 2023-06-27 Philippe J. Giabbanelli

In the life-cycle of software development, testing plays a crucial role in quality assurance. Proper testing not only increases code coverage and prevents regressions but it can also ensure that any potential vulnerabilities in the software…

软件工程 · 计算机科学 2025-06-16 Gábor Antal , Dénes Bán , Martin Isztin , Rudolf Ferenc , Péter Hegedűs

In recent years, groundbreaking advancements in natural language processing have culminated in the emergence of powerful large language models (LLMs), which have showcased remarkable capabilities across a vast array of domains, including…

计算与语言 · 计算机科学 2023-12-11 Microsoft Research AI4Science , Microsoft Azure Quantum

Large Language Models (LLMs) have emerged as influential instruments within the realm of natural language processing; nevertheless, their capacity to handle multi-party conversations (MPCs) -- a scenario marked by the presence of multiple…

计算与语言 · 计算机科学 2023-10-26 Chao-Hong Tan , Jia-Chen Gu , Zhen-Hua Ling

Large language models (LLMs) are playing an increasingly important role in science and engineering. For example, their ability to parse and understand human and computer languages makes them powerful interpreters and their use in…

材料科学 · 物理学 2023-10-19 Juan C. Verduzco , Ethan Holbrook , Alejandro Strachan

In recent years, large language models (LLMs), such as ChatGPT, have been pivotal in advancing various artificial intelligence applications, including natural language processing and software engineering. A promising yet underexplored area…

软件工程 · 计算机科学 2024-01-26 Hiroyuki Kirinuki , Haruto Tanno

Large language models (LLMs) like ChatGPT (i.e., gpt-3.5-turbo and gpt-4) exhibited remarkable advancement in a range of software engineering tasks associated with source code such as code review and code generation. In this paper, we…

软件工程 · 计算机科学 2023-10-17 Michael Fu , Chakkrit Tantithamthavorn , Van Nguyen , Trung Le

While the recent advances in Multimodal Large Language Models (MLLMs) constitute a significant leap forward in the field, these models are predominantly confined to the realm of input-side multimodal comprehension, lacking the capacity for…

计算机视觉与模式识别 · 计算机科学 2024-10-29 Zhanyu Wang , Longyue Wang , Zhen Zhao , Minghao Wu , Chenyang Lyu , Huayang Li , Deng Cai , Luping Zhou , Shuming Shi , Zhaopeng Tu

Recent studies have demonstrated promising performance of ChatGPT and GPT-4 on several medical domain tasks. However, none have assessed its performance using a large-scale real-world electronic health record database, nor have evaluated…

计算与语言 · 计算机科学 2023-07-18 Jingqing Zhang , Kai Sun , Akshay Jagadeesh , Mahta Ghahfarokhi , Deepa Gupta , Ashok Gupta , Vibhor Gupta , Yike Guo

Generative Pre-trained Transformer 4 (GPT-4) is the fourth-generation language model in the GPT series, developed by OpenAI, which promises significant advancements in the field of natural language processing (NLP). In this research…

计算与语言 · 计算机科学 2023-05-08 Jawid Ahmad Baktash , Mursal Dawodi

Empirical software engineering research on production systems has brought forth a better understanding of the software engineering process for practitioners and researchers alike. However, only a small subset of production systems is…

The disruptive application of ChatGPT (GPT-3.5, GPT-4) to a variety of domains has become a topic of much discussion in the scientific community and society at large. Large Language Models (LLMs), e.g., BERT, Bard, Generative Pre-trained…

密码学与安全 · 计算机科学 2023-07-21 Mark Scanlon , Frank Breitinger , Christopher Hargreaves , Jan-Niclas Hilgert , John Sheppard

ChatGPT embarks on a new era of artificial intelligence and will revolutionize the way we approach intelligent traffic safety systems. This paper begins with a brief introduction about the development of large language models (LLMs). Next,…

计算与语言 · 计算机科学 2023-09-07 Ou Zheng , Mohamed Abdel-Aty , Dongdong Wang , Zijin Wang , Shengxuan Ding

The advent of ChatGPT and GPT-4 has captivated the world with large language models (LLMs), demonstrating exceptional performance in question-answering, summarization, and content generation. The aviation industry is characterized by an…

计算与语言 · 计算机科学 2023-11-30 Liya Wang , Jason Chou , Xin Zhou , Alex Tien , Diane M Baumgartner

With the rise of multimodal large language models, GPT-4o stands out as a pioneering model, driving us to evaluate its capabilities. This report assesses GPT-4o across various tasks to analyze its audio processing and reasoning abilities.…

计算与语言 · 计算机科学 2025-02-17 Yu-Xiang Lin , Chih-Kai Yang , Wei-Chih Chen , Chen-An Li , Chien-yu Huang , Xuanjun Chen , Hung-yi Lee

Large Language Models (LLMs) such as GPT-4 have shown enough promise in the few-shot learning context to suggest use in the generation of "silver" data and refinement of new ontologies through iterative application and review. Such…

人工智能 · 计算机科学 2024-08-05 Steven Fincke , Adrien Bibal , Elizabeth Boschee
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