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Large Language Models (LLM) have become sophisticated enough that complex computer programs can be created through interpretation of plain English sentences and implemented in a variety of modern languages such as Python, Java Script, C++…

Software Engineering · Computer Science 2023-09-04 Simon Thorne

In traditional usability studies, researchers talk to users of tools to understand their needs and challenges. Insights gained via such interviews offer context, detail, and background. Due to costs in time and money, we are beginning to…

Human-Computer Interaction · Computer Science 2018-02-01 Kelly Mack , John Lee , Kevin Chang , Karrie Karahalios , Aditya Parameswaran

This paper adopts a critical approach to ChatGPT, showing how its huge reach makes it a useful tool for people with simple requirements but a bad, even misleading guide to those with more complex problems which are more rarely present in…

Software Engineering · Computer Science 2023-09-04 Patrick O'Beirne

The utilisation of AI-driven tools, notably ChatGPT, within academic research is increasingly debated from several perspectives including ease of implementation, and potential enhancements in research efficiency, as against ethical concerns…

Human-Computer Interaction · Computer Science 2024-05-16 Aleksei Turobov , Diane Coyle , Verity Harding

Spreadsheet programs, artifacts developed by non-programmers, are used for a variety of important tasks and decisions. Yet a significant proportion of them have severe quality problems. To address this issue, our previous work presented an…

Software Engineering · Computer Science 2024-12-31 Yirsaw Ayalew , Roland Mittermeir

Artificial intelligence (AI) tools based on large language models have acheived human-level performance on some computer programming tasks. We report several experiments using GPT-4 to generate computer code. These experiments demonstrate…

Artificial Intelligence · Computer Science 2023-04-27 Russell A Poldrack , Thomas Lu , Gašper Beguš

It has been suggested that large language models such as GPT-4 have acquired some form of understanding beyond the correlations among the words in text including some understanding of mathematics as well. Here, we perform a critical inquiry…

Machine Learning · Computer Science 2023-11-15 Roozbeh Yousefzadeh , Xuenan Cao

Generative AI and Large Language Models (LLMs) hold promise for automating spreadsheet formula creation. However, due to hallucinations, bias and variable user skill, outputs obtained from generative AI cannot be assumed to be accurate or…

Human-Computer Interaction · Computer Science 2025-01-20 Simon Thorne

Spreadsheets are known to be error-prone. Over the last decade, research has been done to determine the causes of the high rate of errors in spreadsheets. This paper examines the added value of a spreadsheet tool (PerfectXL) that visualizes…

Software Engineering · Computer Science 2016-03-09 Simone Schalkwijk , Felienne Hermans , Michiel van der Ven , Hans Duits

The challenge of formal proof generation has a rich history, but with modern techniques, we may finally be at the stage of making actual progress in real-life mathematical problems. This paper explores the integration of ChatGPT and basic…

Logic in Computer Science · Computer Science 2025-02-20 Sangjun Han , Taeil Hur , Youngmi Hur , Kathy Sangkyung Lee , Myungyoon Lee , Hyojae Lim

Spreadsheets are widely used in various fields to do large numerical analysis. While several companies have relied on spreadsheets for decades, data scientists are going in the direction of using scientific programming languages such as…

Software Engineering · Computer Science 2022-11-14 Amir Nassereldine , Patrick Chen , Jinjun Xiong

The GPT (Generative Pre-trained Transformer) language models are an artificial intelligence and natural language processing technology that enables automatic text generation. There is a growing interest in applying GPT language models to…

Computers and Society · Computer Science 2024-03-25 Manuel de Buenaga , Francisco Javier Bueno

Excel is a pervasive yet often complex tool, particularly for novice users, where runtime errors arising from logical mistakes or misinterpretations of functions pose a significant challenge. While large language models (LLMs) offer…

Effective prioritization of issue reports is crucial in software engineering to optimize resource allocation and address critical problems promptly. However, the manual classification of issue reports for prioritization is laborious and…

Software Engineering · Computer Science 2024-01-10 Gabriel Aracena , Kyle Luster , Fabio Santos , Igor Steinmacher , Marco A. Gerosa

Generative Artificial Intelligence (AI) models such as OpenAI's ChatGPT have the potential to revolutionize Statistical Process Control (SPC) practice, learning, and research. However, these tools are in the early stages of development and…

Machine Learning · Computer Science 2023-06-19 Fadel M. Megahed , Ying-Ju Chen , Joshua A. Ferris , Sven Knoth , L. Allison Jones-Farmer

This paper presents an investigation of the capabilities of Generative Pre-trained Transformers (GPTs) to auto-generate graphical process models from multi-modal (i.e., text- and image-based) inputs. More precisely, we first introduce a…

Software Engineering · Computer Science 2024-06-10 Marvin Voelter , Raheleh Hadian , Timotheus Kampik , Marius Breitmayer , Manfred Reichert

ADAPT is a tool that aims at easing the task of evaluating dependability measures in the context of modern model driven engineering processes based on AADL (Architecture Analysis and Design Language). Hence, its input is an AADL…

Software Engineering · Computer Science 2008-09-25 Ana E. Rugina , Karama Kanoun , Mohamed Kaaniche

AI models like GPT-5 are an increasingly valuable tool for scientists, but many remain unaware of the capabilities of frontier AI. We present a collection of short case studies in which GPT-5 produced new, concrete steps in ongoing research…

Artificial intelligence (AI) tools are being incorporated into scientific research workflows with the potential to enhance efficiency in tasks such as document analysis, question answering (Q&A), and literature search. However, system…

Artificial Intelligence · Computer Science 2026-05-13 Anthea Dathe , Kiran Hoffmann , Aline Mangold

Recent studies have demonstrated promising performance of ChatGPT and GPT-4 on several medical domain tasks. However, none have assessed its performance using a large-scale real-world electronic health record database, nor have evaluated…

Computation and Language · Computer Science 2023-07-18 Jingqing Zhang , Kai Sun , Akshay Jagadeesh , Mahta Ghahfarokhi , Deepa Gupta , Ashok Gupta , Vibhor Gupta , Yike Guo
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