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相关论文: OpenAi's GPT4 as coding assistant

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Large language models (LLMs) are used in software development to assist in various tasks, e.g., code generation and code completion, but empirical evaluations of the quality of the results produced by these models focus on correctness and…

软件工程 · 计算机科学 2025-02-05 Lola Solovyeva , Sophie Weidmann , Fernando Castor

Over the past decade, predictive language modeling for code has proven to be a valuable tool for enabling new forms of automation for developers. More recently, we have seen the advent of general purpose "large language models", based on…

软件工程 · 计算机科学 2023-06-05 Sajed Jalil , Suzzana Rafi , Thomas D. LaToza , Kevin Moran , Wing Lam

Multimodal GPTs represent a watershed in the interplay between Software Engineering and Generative Artificial Intelligence. GPT-4 accepts image and text inputs, rather than simply natural language. We investigate relevant use cases stemming…

软件工程 · 计算机科学 2025-08-21 Roberto Rossi

In this paper, we explore the application of large language models (LLMs) for generating code-tracing questions in introductory programming courses. We designed targeted prompts for GPT4, guiding it to generate code-tracing questions based…

计算与语言 · 计算机科学 2023-10-25 Aysa Xuemo Fan , Ranran Haoran Zhang , Luc Paquette , Rui Zhang

AI-powered education technologies can support students and teachers in computer science education. However, with the recent developments in generative AI, and especially the increasingly emerging popularity of ChatGPT, the effectiveness of…

人工智能 · 计算机科学 2023-12-05 Nora Dunder , Saga Lundborg , Olga Viberg , Jacqueline Wong

The use of large language models (LLMs) such as OpenAI's GPT-4 in technical customer support (TCS) has the potential to revolutionize this area. This study examines automated text correction, summarization of customer inquiries and question…

综合经济学 · 经济学 2024-06-04 Jochen Wulf , Jürg Meierhofer

This research delves into the current literature on bias in Natural Language Processing Models and the techniques proposed to mitigate the problem of bias, including why it is important to tackle bias in the first place. Additionally, these…

计算与语言 · 计算机科学 2023-06-06 Ali Ayaz , Aditya Nawalgaria , Ruilian Yin

This paper presents the latest progress of GPTutor: a ChatGPT-powered programming tool extension in Visual Studio Code. The emergence of Large Language Models (LLMs) has improved software development efficiency, but their performance can be…

人机交互 · 计算机科学 2023-10-26 Eason Chen , Ray Huang , Justa Liang , Damien Chen , Pierce Hung

$ $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…

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

In a rapidly evolving digital landscape autonomous tools and robots are becoming commonplace. Recognizing the significance of this development, this paper explores the integration of Large Language Models (LLMs) like Generative pre-trained…

人机交互 · 计算机科学 2024-03-22 Younes Lakhnati , Max Pascher , Jens Gerken

This study investigates how LLMs, specifically GPT-3.5 and GPT-4, can develop tailored questions for Grade 9 math, aligning with active learning principles. By utilizing an iterative method, these models adjust questions based on difficulty…

计算与语言 · 计算机科学 2024-06-21 Hamdireza Rouzegar , Masoud Makrehchi

This study evaluates the potential of ChatGPT-4, an artificial intelligence language model developed by OpenAI, as an editing tool for Spanish literary and academic books. The need for efficient and accessible reviewing and editing…

人工智能 · 计算机科学 2023-09-21 Jonnathan Berrezueta-Guzman , Laura Malache-Silva , Stephan Krusche

Large Language Models (LLMs) have demonstrated their remarkable capabilities in numerous fields. This survey focuses on how LLMs empower users, regardless of their technical background, to use human languages to automatically generate…

软件工程 · 计算机科学 2025-04-03 Nam Huynh , Beiyu Lin

This study evaluates the capabilities of ChatGPT versions 3.5 and 4 in generating code across a diverse range of programming languages. Our objective is to assess the effectiveness of these AI models for generating scientific programs. To…

软件工程 · 计算机科学 2025-05-13 Patrick Diehl , Noujoud Nader , Steve Brandt , Hartmut Kaiser

Traditional manufacturing faces challenges adapting to dynamic environments and quickly responding to manufacturing changes. The use of multi-agent systems has improved adaptability and coordination but requires further advancements in…

多智能体系统 · 计算机科学 2024-06-24 Jonghan Lim , Birgit Vogel-Heuser , Ilya Kovalenko

Generative artificial intelligence tools, like ChatGPT, are an increasingly utilized resource among computational social scientists. Nevertheless, there remains space for improved understanding of the performance of ChatGPT in complex tasks…

计算与语言 · 计算机科学 2025-12-02 Breanna E. Green , Ashley L. Shea , Pengfei Zhao , Drew B. Margolin

Large Language Models (LLMs) like GPT-3 and GPT-4 have emerged as groundbreaking innovations with capabilities that extend far beyond traditional AI applications. These sophisticated models, trained on massive datasets, can generate…

软件工程 · 计算机科学 2025-05-21 Md Asraful Haque

OpenAI's ChatGPT initiated a wave of technical iterations in the space of Large Language Models (LLMs) by demonstrating the capability and disruptive power of LLMs. OpenAI has prompted large organizations to respond with their own…

社会与信息网络 · 计算机科学 2024-05-20 Benjamin Zi Hao Zhao , Muhammad Ikram , Mohamed Ali Kaafar

The rapid evolution of artificial intelligence (AI), especially in the domain of Large Language Models (LLMs) and generative AI, has opened new avenues for application across various fields, yet its role in business education remains…

计算与语言 · 计算机科学 2024-01-09 Vahid Ashrafimoghari , Necdet Gürkan , Jordan W. Suchow