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Large language models (LLMs) such as ChatGPT have shown remarkable capabilities in code generation. Despite significant achievements, they rely on enormous training data to acquire a broad spectrum of open-domain knowledge. Besides, their…

Software Engineering · Computer Science 2025-02-18 Xiaodong Gu , Meng Chen , Yalan Lin , Yuhan Hu , Hongyu Zhang , Chengcheng Wan , Zhao Wei , Yong Xu , Juhong Wang

Large Language Models (LLMs), including the LLaMA model, have exhibited their efficacy across various general-domain natural language processing (NLP) tasks. However, their performance in high-performance computing (HPC) domain tasks has…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-11-23 Xianzhong Ding , Le Chen , Murali Emani , Chunhua Liao , Pei-Hung Lin , Tristan Vanderbruggen , Zhen Xie , Alberto E. Cerpa , Wan Du

Large Language Models (LLMs) are advanced Artificial Intelligence (AI) systems that have undergone extensive training using large datasets in order to understand and produce language that closely resembles that of humans. These models have…

Software Engineering · Computer Science 2023-08-10 Alessio Buscemi

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,…

Recent advances in large language models (LLMs) have significantly accelerated progress in code translation, enabling more accurate and efficient transformation across programming languages. While originally developed for natural language…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-11-12 Arijit Bhattacharjee , Ali TehraniJamsaz , Le Chen , Niranjan Hasabnis , Mihai Capota , Nesreen Ahmed , Ali Jannesari

This paper explores the use of Large Language Models (LLMs) and in particular ChatGPT in programming, source code analysis, and code generation. LLMs and ChatGPT are built using machine learning and artificial intelligence techniques, and…

Software Engineering · Computer Science 2023-06-12 Ahmed R. Sadik , Antonello Ceravola , Frank Joublin , Jibesh Patra

Parallel programs in high performance computing (HPC) continue to grow in complexity and scale in the exascale era. The diversity in hardware and parallel programming models make developing, optimizing, and maintaining parallel software…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-05-15 Daniel Nichols , Aniruddha Marathe , Harshitha Menon , Todd Gamblin , Abhinav Bhatele

Large Language Models (LLMs) have revo lutionized natural language processing Natural Language Processing (NLP), with Chat Generative Pre-trained Transformer (ChatGPT) standing out as a notable exampledue to its advanced capabilities and…

Computation and Language · Computer Science 2025-03-25 Azim Akhtarshenas , Afshin Dini , Navid Ayoobi

With easier access to powerful compute resources, there is a growing trend in the field of AI for software development to develop larger and larger language models (LLMs) to address a variety of programming tasks. Even LLMs applied to tasks…

Large language models (LLMs) have demonstrated notable proficiency in code generation, with numerous prior studies showing their promising capabilities in various development scenarios. However, these studies mainly provide evaluations in…

Software Engineering · Computer Science 2024-03-19 Kailun Jin , Chung-Yu Wang , Hung Viet Pham , Hadi Hemmati

Large Language Models (LLMs) have drawn a lot of attention due to their strong performance on a wide range of natural language tasks, since the release of ChatGPT in November 2022. LLMs' ability of general-purpose language understanding and…

Computation and Language · Computer Science 2025-03-25 Shervin Minaee , Tomas Mikolov , Narjes Nikzad , Meysam Chenaghlu , Richard Socher , Xavier Amatriain , Jianfeng Gao

Large Language Models (LLMs) have emerged as powerful tools for software development tasks such as code completion, translation, and optimization. However, their ability to generate efficient and correct code, particularly in complex…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-03-19 Bowen Cui , Tejas Ramesh , Oscar Hernandez , Keren Zhou

Large Language Model (LLM) based coding tools have been tremendously successful as software development assistants, yet they are often designed for general purpose programming tasks and perform poorly for more specialized domains such as…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-12-20 Aman Chaturvedi , Daniel Nichols , Siddharth Singh , Abhinav Bhatele

In recent years, large language models (LLMs) have emerged as powerful tools with potential applications in various fields, including software engineering. Within the scope of this research, we evaluate five different state-of-the-art LLMs…

Computation and Language · Computer Science 2024-09-09 Luis Mayer , Christian Heumann , Matthias Aßenmacher

Large Language Models (LLMs) have revolutionized the field of Natural Language Processing (NLP) by automating traditional labor-intensive tasks and consequently accelerated the development of computer-aided applications. As researchers…

Computation and Language · Computer Science 2025-06-24 Summra Saleem , Muhammad Nabeel Asim , Shaista Zulfiqar , Andreas Dengel

Large language models (LLMs), such as ChatGPT and Copilot, are transforming software development by automating code generation and, arguably, enable rapid prototyping, support education, and boost productivity. Therefore, correctness and…

Software Engineering · Computer Science 2024-08-30 Robin Beer , Alexander Feix , Tim Guttzeit , Tamara Muras , Vincent Müller , Maurice Rauscher , Florian Schäffler , Welf Löwe

As large language models (LLMs) like ChatGPT exhibited unprecedented machine intelligence, it also shows great performance in assisting hardware engineers to realize higher-efficiency logic design via natural language interaction. To…

Artificial Intelligence · Computer Science 2025-10-14 Kaiyan Chang , Ying Wang , Haimeng Ren , Mengdi Wang , Shengwen Liang , Yinhe Han , Huawei Li , Xiaowei Li

The capabilities of Large Language Models (LLMs) have significantly evolved, extending from natural language processing to complex tasks like code understanding and generation. We expand the scope of LLMs' capabilities to a broader context,…

Computation and Language · Computer Science 2024-10-11 Chenyang Lyu , Lecheng Yan , Rui Xing , Wenxi Li , Younes Samih , Tianbo Ji , Longyue Wang

Recently, language models (LMs), especially large language models (LLMs), have revolutionized the field of deep learning. Both encoder-decoder models and prompt-based techniques have shown immense potential for natural language processing…

The startling success of ChatGPT and other large language models (LLMs) using transformer-based generative neural network architecture in applications such as natural language processing and image synthesis has many researchers excited…

Artificial Intelligence · Computer Science 2024-11-05 Venkat Venkatasubramanian , Arijit Chakraborty
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