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The task of generating code solutions for a given programming problem can benefit from the use of pre-trained language models such as Codex, which can produce multiple diverse samples. However, a major challenge for this task is to select…

Computation and Language · Computer Science 2022-11-24 Bei Chen , Fengji Zhang , Anh Nguyen , Daoguang Zan , Zeqi Lin , Jian-Guang Lou , Weizhu Chen

Bibliographic catalogues store millions of data. The use of computer techniques such as web-scraping allows the extraction of data in an efficient and accurate manner. The recent emergence of ChatGPT is facilitating the development of…

Digital Libraries · Computer Science 2026-03-23 Manuel Blázquez-Ochando , Juan José Prieto-Gutiérrez , María Antonia Ovalle-Perandones

In the last several years, the field of computer assisted language learning has increasingly focused on computer aided question generation. However, this approach often provides test takers with an exhaustive amount of questions that are…

Computation and Language · Computer Science 2018-08-30 Yi-Ting Huang , Meng Chang Chen , Yeali S. Sun

Computer programming is a fundamental tool for life scientists, allowing them to carry out many essential research tasks. However, despite a variety of educational efforts, learning to write code can be a challenging endeavor for both…

Other Quantitative Biology · Quantitative Biology 2024-01-02 Stephen R. Piccolo , Paul Denny , Andrew Luxton-Reilly , Samuel Payne , Perry G. Ridge

Prompt engineering has shown potential for improving translation quality in LLMs. However, the possibility of using translation concepts in prompt design remains largely underexplored. Against this backdrop, the current paper discusses the…

Computation and Language · Computer Science 2026-04-06 Sui He

Background: AI-powered code generation, fueled by Large Language Models (LLMs), is revolutionizing software development. Models like OpenAI's Codex and GPT-4, alongside DeepSeek, leverage vast code and natural language datasets. However,…

Software Engineering · Computer Science 2025-02-27 Md Motaleb Hossen Manik

The integration of generative AI tools like ChatGPT into software engineering workflows opens up new opportunities to boost productivity in tasks such as unit test engineering. However, these AI-assisted workflows can also significantly…

Software Engineering · Computer Science 2025-10-14 Baris Ardic , Quentin Le Dilavrec , Andy Zaidman

Background: Large language models (LLMs) such as ChatGPT are increasingly used in introductory programming courses to provide real-time code generation, debugging, and explanations. While these tools can boost productivity and code quality,…

Software Engineering · Computer Science 2025-10-02 Shiza Andleeb , Brandon Kantorski , Jeffrey C. Carver

Parsing (also called syntax analysis) techniques cover a substantial portion of any undergraduate Compiler Design course. We present ParseIT, a tool to help students understand the parsing techniques through question-answering. ParseIT…

Programming Languages · Computer Science 2017-02-03 Amey Karkare , Nimisha Agarwal

Prompt engineering is a challenging yet crucial task for optimizing the performance of large language models on customized tasks. It requires complex reasoning to examine the model's errors, hypothesize what is missing or misleading in the…

Computation and Language · Computer Science 2024-07-04 Qinyuan Ye , Maxamed Axmed , Reid Pryzant , Fereshte Khani

Code review is an essential activity for ensuring the quality and maintainability of software projects. However, it is a time-consuming and often error-prone task that can significantly impact the development process. Recently, ChatGPT, a…

Software Engineering · Computer Science 2023-09-18 Qi Guo , Junming Cao , Xiaofei Xie , Shangqing Liu , Xiaohong Li , Bihuan Chen , Xin Peng

The latest paradigm shift in software development brings in the innovation and automation afforded by Large Language Models (LLMs), showcased by Generative Pre-trained Transformer (GPT), which has shown remarkable capacity to generate code…

Software Engineering · Computer Science 2024-06-12 Xiaoyin Wang , Dakai Zhu

AI tasks encompass a wide range of domains and fields. While numerous AI models have been designed for specific tasks and applications, they often require considerable human efforts in finding the right model architecture, optimization…

Computation and Language · Computer Science 2023-05-05 Shujian Zhang , Chengyue Gong , Lemeng Wu , Xingchao Liu , Mingyuan Zhou

With the rapid evolution of Natural Language Processing (NLP), Large Language Models (LLMs) like ChatGPT have emerged as powerful tools capable of transforming various sectors. Their vast knowledge base and dynamic interaction capabilities…

Computers and Society · Computer Science 2024-01-02 Kevin Wang , Jason Ramos , Ramon Lawrence

ChatGPT has achieved remarkable success in natural language understanding. Considering that recommendation is indeed a conversation between users and the system with items as words, which has similar underlying pattern with ChatGPT, we…

Information Retrieval · Computer Science 2024-04-16 Yabin Zhang , Wenhui Yu , Erhan Zhang , Xu Chen , Lantao Hu , Peng Jiang , Kun Gai

This paper introduces prompted software engineering (PSE), which integrates prompt engineering to build effective prompts for language-based AI models, to enhance the software development process. PSE enables the use of AI models in…

Software Engineering · Computer Science 2023-11-08 Dae-Kyoo Kim

This paper investigates the capabilities of ChatGPT as an automated assistant in diverse domains, including scientific writing, mathematics, education, programming, and healthcare. We explore the potential of ChatGPT to enhance…

Human-Computer Interaction · Computer Science 2023-06-07 Amos Azaria , Rina Azoulay , Shulamit Reches

Prompt engineering has emerged as an integral technique for extending the strengths and abilities of Large Language Models (LLMs) to gain significant performance gains in various Natural Language Processing (NLP) tasks. This approach, which…

Computation and Language · Computer Science 2026-02-13 Munazza Zaib , Elaf Alhazmi

Large Language Models (LLMs) like GPT and Bard are capable of producing code based on textual descriptions, with remarkable efficacy. Such technology will have profound implications for computing education, raising concerns about cheating,…

Emerging Technologies · Computer Science 2024-04-29 Bruno Pereira Cipriano , Pedro Alves

This paper presents the second ChatGPT4PCG competition at the 2024 IEEE Conference on Games. In this edition of the competition, we follow the first edition, but make several improvements and changes. We introduce a new evaluation metric…