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While Large Language Models (LLMs) are being quickly adapted to many domains, including healthcare, their strengths and pitfalls remain under-explored. In our study, we examine the effects of prompt engineering to guide Large Language…

计算与语言 · 计算机科学 2024-09-04 Daniil Filienko , Yinzhou Wang , Caroline El Jazmi , Serena Xie , Trevor Cohen , Martine De Cock , Weichao Yuwen

We evaluate the effectiveness of LLM-Tutor, a large language model (LLM)-powered tutoring system that combines an AI-based proof-review tutor for real-time feedback on proof-writing and a chatbot for mathematics-related queries. Our…

This paper aims to efficiently enable Large Language Models (LLMs) to use multimodal tools. Advanced proprietary LLMs, such as ChatGPT and GPT-4, have shown great potential for tool usage through sophisticated prompt engineering.…

计算机视觉与模式识别 · 计算机科学 2023-05-31 Rui Yang , Lin Song , Yanwei Li , Sijie Zhao , Yixiao Ge , Xiu Li , Ying Shan

Learning to program can be challenging, and providing high-quality and timely support at scale is hard. Generative AI and its products, like ChatGPT, can create a solution for most intro-level programming problems. However, students might…

计算机与社会 · 计算机科学 2024-05-31 Xinying Hou , Zihan Wu , Xu Wang , Barbara J. Ericson

The increasing demand for programming language education and growing class sizes require immediate and personalized feedback. However, traditional code review methods have limitations in providing this level of feedback. As the capabilities…

软件工程 · 计算机科学 2025-06-23 Lee Dong-Kyu

Natural language (NL) programming has become more approachable due to the powerful code-generation capability of large language models (LLMs). This shift to using NL to program enhances collaborative programming by reducing communication…

人机交互 · 计算机科学 2024-06-18 Li Feng , Ryan Yen , Yuzhe You , Mingming Fan , Jian Zhao , Zhicong Lu

The landscape of software developer learning resources has continuously evolved, with recent trends favoring engaging formats like video tutorials. The emergence of Large Language Models (LLMs) like ChatGPT presents a new learning paradigm.…

软件工程 · 计算机科学 2024-10-14 Ahmad Tayeb , Mohammad D. Alahmadi , Elham Tajik , Sonia Haiduc

Large Language Models (LLMs) are revolutionizing the field of computing education with their powerful code-generating capabilities. Traditional pedagogical practices have focused on code writing tasks, but there is now a shift in importance…

Powered by recent advances in code-generating models, AI assistants like Github Copilot promise to change the face of programming forever. But what is this new face of programming? We present the first grounded theory analysis of how…

人机交互 · 计算机科学 2022-11-01 Shraddha Barke , Michael B. James , Nadia Polikarpova

LLMs have gained immense popularity among researchers and the general public for its impressive capabilities on a variety of tasks. Notably, the efficacy of LLMs remains significantly dependent on the quality and structure of the input…

机器学习 · 计算机科学 2025-04-08 Wenliang Zheng , Sarkar Snigdha Sarathi Das , Yusen Zhang , Rui Zhang

AI-supported programming has arrived, as shown by the introduction and successes of large language models for code, such as Copilot/Codex (Github/OpenAI) and AlphaCode (DeepMind). Above human average performance on programming challenges is…

软件工程 · 计算机科学 2023-03-08 Rohith Pudari , Neil A. Ernst

Automatic program synthesis is a long-lasting dream in software engineering. Recently, a promising Deep Learning (DL) based solution, called Copilot, has been proposed by OpenAI and Microsoft as an industrial product. Although some studies…

We introduce SIMCOPILOT, a benchmark that simulates the role of large language models (LLMs) as interactive, "copilot"-style coding assistants. Targeting both completion (finishing incomplete methods or code blocks) and infill tasks…

机器学习 · 计算机科学 2025-05-29 Mingchao Jiang , Abhinav Jain , Sophia Zorek , Chris Jermaine

With their exceptional natural language processing capabilities, tools based on Large Language Models (LLMs) like ChatGPT and Co-Pilot have swiftly become indispensable resources in the software developer's toolkit. While recent studies…

Background: Large Language Models (LLMs) such as ChatGPT and CoPilot are influencing software engineering practice. Software engineering educators must teach future software engineers how to use such tools well. As of yet, there have been…

软件工程 · 计算机科学 2024-04-18 Ben Arie Tanay , Lexy Arinze , Siddhant S. Joshi , Kirsten A. Davis , James C. Davis

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

We present a vision and language model named MultiModal-GPT to conduct multi-round dialogue with humans. MultiModal-GPT can follow various instructions from humans, such as generating a detailed caption, counting the number of interested…

计算机视觉与模式识别 · 计算机科学 2023-06-14 Tao Gong , Chengqi Lyu , Shilong Zhang , Yudong Wang , Miao Zheng , Qian Zhao , Kuikun Liu , Wenwei Zhang , Ping Luo , Kai Chen

With their remarkable ability to generate code, large language models (LLMs) are a transformative technology for computing education practice. They have created an urgent need for educators to rethink pedagogical approaches and teaching…

Large language models (LLMs) are a new and powerful tool for a wide span of applications involving natural language and demonstrate impressive code generation abilities. The goal of this work is to automatically generate tests and use these…

人工智能 · 计算机科学 2024-03-12 Christian Munley , Aaron Jarmusch , Sunita Chandrasekaran

This tutorial addresses the challenge of incorporating large language models (LLMs), such as ChatGPT, in a data analytics class. It details several new in-class and out-of-class teaching techniques enabled by AI. For example, instructors…

计算机与社会 · 计算机科学 2024-11-13 Robert L. Bray