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相关论文: ChatGPT vs. DeepSeek: A Comparative Study on AI-Ba…

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The advancement of large language models (LLMs) has created a competitive landscape for AI-assisted programming tools. This study evaluates two leading models: ChatGPT 03-mini and DeepSeek-R1 on their ability to solve competitive…

软件工程 · 计算机科学 2026-05-21 Ronas Shakya , Sam Urmian , Mohammad Khalil

Pretrained Large Language Models (LLMs) have achieved remarkable success across diverse domains, with education and research emerging as particularly impactful areas. Among current state-of-the-art LLMs, ChatGPT and DeepSeek exhibit strong…

人工智能 · 计算机科学 2025-12-10 Md Mostafizer Rahman , Ariful Islam Shiplu , Md Faizul Ibne Amin , Yutaka Watanobe , Lu Peng

Large-scale language models (LLMs) have emerged as a groundbreaking innovation in the realm of question-answering and conversational agents. These models, leveraging different deep learning architectures such as Transformers, are trained on…

软件工程 · 计算机科学 2023-07-18 Fardin Ahsan Sakib , Saadat Hasan Khan , A. H. M. Rezaul Karim

In recent times, large language models (LLMs) have made significant strides in generating computer code, blurring the lines between code created by humans and code produced by artificial intelligence (AI). As these technologies evolve…

机器学习 · 计算机科学 2024-07-04 Marc Oedingen , Raphael C. Engelhardt , Robin Denz , Maximilian Hammer , Wolfgang Konen

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…

Large Language Models (LLMs) have emerged as powerful tools for tackling a wide range of problems, including those in scientific computing, particularly in solving partial differential equations (PDEs). However, different models exhibit…

机器学习 · 计算机科学 2025-03-11 Qile Jiang , Zhiwei Gao , George Em Karniadakis

As AI code assistants become increasingly integrated into software development workflows, understanding how their code compares to human-written programs is critical for ensuring reliability, maintainability, and security. In this paper, we…

软件工程 · 计算机科学 2025-09-01 Domenico Cotroneo , Cristina Improta , Pietro Liguori

Automated code generation can be a powerful technique for software development, significantly reducing developers' efforts and time required to create new code by generating it automatically based on requirements. Recently, OpenAI's…

软件工程 · 计算机科学 2023-05-16 Chao Liu , Xuanlin Bao , Hongyu Zhang , Neng Zhang , Haibo Hu , Xiaohong Zhang , Meng Yan

Large Language Models (LLMs), such as GPT-4 and DeepSeek, have been applied to a wide range of domains in software engineering. However, their potential in the context of High-Performance Computing (HPC) much remains to be explored. This…

分布式、并行与集群计算 · 计算机科学 2025-12-02 Noujoud Nader , Patrick Diehl , Steve Brandt , Hartmut Kaiser

Large Language Models (LLMs) like ChatGPT, Copilot, Gemini, and DeepSeek are transforming software engineering by automating key tasks, including code generation, testing, and debugging. As these models become integral to development…

软件工程 · 计算机科学 2025-08-07 Everton Guimaraes , Nathalia Nascimento , Chandan Shivalingaiah , Asish Nelapati

The transformative influence of Large Language Models (LLMs) is profoundly reshaping the Artificial Intelligence (AI) technology domain. Notably, ChatGPT distinguishes itself within these models, demonstrating remarkable performance in…

软件工程 · 计算机科学 2024-05-28 Sayed Erfan Arefin , Tasnia Ashrafi Heya , Hasan Al-Qudah , Ynes Ineza , Abdul Serwadda

The increasing use of large language models (LLMs) in natural language processing (NLP) tasks has sparked significant interest in evaluating their effectiveness across diverse applications. While models like ChatGPT and DeepSeek have shown…

计算与语言 · 计算机科学 2025-08-12 Wael Etaiwi , Bushra Alhijawi

The growing integration of AI tools in software development, particularly Large Language Models (LLMs) such as ChatGPT, has revolutionized how developers approach coding tasks. However, achieving high-quality code often requires iterative…

This study presents a comprehensive empirical evaluation of six state-of-the-art large language models (LLMs) for code generation, including both general-purpose and code-specialized models. Using a dataset of 944 real-world LeetCode…

软件工程 · 计算机科学 2025-12-23 Le Zhang , Suresh Kothari

This paper presents a comprehensive evaluation of the code generation capabilities of ChatGPT, a prominent large language model, compared to human programmers. A novel dataset of 131 code-generation prompts across 5 categories was curated…

软件工程 · 计算机科学 2023-11-07 Muhammad Fawad Akbar Khan , Max Ramsdell , Erik Falor , Hamid Karimi

The rapid advancement of artificial intelligence (AI) has reshaped the field of natural language processing (NLP), with models like OpenAI ChatGPT and DeepSeek AI. Although ChatGPT established a strong foundation for conversational AI,…

计算机视觉与模式识别 · 计算机科学 2025-04-07 Simrandeep Singh , Shreya Bansal , Abdulmotaleb El Saddik , Mukesh Saini

Much is promised in relation to AI-supported software development. However, there has been limited evaluation effort in the research domain aimed at validating the true utility of such techniques, especially when compared to human coding…

软件工程 · 计算机科学 2025-01-29 Sherlock A. Licorish , Ansh Bajpai , Chetan Arora , Fanyu Wang , Kla Tantithamthavorn

The advent of Large Language Models (LLM) has revolutionized the efficiency and speed with which tasks are completed, marking a significant leap in productivity through technological innovation. As these chatbots tackle increasingly complex…

软件工程 · 计算机科学 2024-05-24 Luc Bryan Heitz , Joun Chamas , Christopher Scherb

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…

计算与语言 · 计算机科学 2024-09-09 Luis Mayer , Christian Heumann , Matthias Aßenmacher

Program synthesis has been long studied with recent approaches focused on directly using the power of Large Language Models (LLMs) to generate code. Programming benchmarks, with curated synthesis problems and test-cases, are used to measure…

软件工程 · 计算机科学 2023-11-01 Jiawei Liu , Chunqiu Steven Xia , Yuyao Wang , Lingming Zhang
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