Large-scale text-to-image generation models for visual artists' creative works

HK Ko, G Park, H Jeon, J Jo, J Kim, J Seo - Proceedings of the 28th …, 2023 - dl.acm.org
Large-scale Text-to-image Generation Models (LTGMs)(eg, DALL-E), self-supervised deep
learning models trained on a huge dataset, have demonstrated the capacity for generating …

Studying the effect of AI code generators on supporting novice learners in introductory programming

M Kazemitabaar, J Chow, CKT Ma, BJ Ericson… - Proceedings of the …, 2023 - dl.acm.org
AI code generators like OpenAI Codex have the potential to assist novice programmers by
generating code from natural language descriptions, however, over-reliance might …

Large language models for software engineering: Survey and open problems

A Fan, B Gokkaya, M Harman… - 2023 IEEE/ACM …, 2023 - ieeexplore.ieee.org
This paper provides a survey of the emerging area of Large Language Models (LLMs) for
Software Engineering (SE). It also sets out open research challenges for the application of …

Do users write more insecure code with AI assistants?

N Perry, M Srivastava, D Kumar, D Boneh - Proceedings of the 2023 …, 2023 - dl.acm.org
AI code assistants have emerged as powerful tools that can aid in the software development
life-cycle and can improve developer productivity. Unfortunately, such assistants have also …

Computing education in the era of generative AI

P Denny, J Prather, BA Becker… - Communications of the …, 2024 - dl.acm.org
ACM: Digital Library: Communications of the ACM ACM Digital Library Communications of the
ACM Volume 67, Number 2 (2024), Pages 56-67 Computing Education in the Era of …

“What it wants me to say”: Bridging the abstraction gap between end-user programmers and code-generating large language models

MX Liu, A Sarkar, C Negreanu, B Zorn… - Proceedings of the …, 2023 - dl.acm.org
Code-generating large language models map natural language to code. However, only a
small portion of the infinite space of naturalistic utterances is effective at guiding code …

Conversing with copilot: Exploring prompt engineering for solving cs1 problems using natural language

P Denny, V Kumar, N Giacaman - … of the 54th ACM Technical Symposium …, 2023 - dl.acm.org
GitHub Copilot is an artificial intelligence tool for automatically generating source code from
natural language problem descriptions. Since June 2022, Copilot has officially been …

Enabling conversational interaction with mobile ui using large language models

B Wang, G Li, Y Li - Proceedings of the 2023 CHI Conference on Human …, 2023 - dl.acm.org
Conversational agents show the promise to allow users to interact with mobile devices using
language. However, to perform diverse UI tasks with natural language, developers typically …

Anglekindling: Supporting journalistic angle ideation with large language models

S Petridis, N Diakopoulos, K Crowston… - Proceedings of the …, 2023 - dl.acm.org
News media often leverage documents to find ideas for stories, while being critical of the
frames and narratives present. Developing angles from a document such as a press release …

An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions

J Shi, R Jain, H Doh, R Suzuki, K Ramani - arXiv preprint arXiv …, 2023 - arxiv.org
Generative AI (GenAI) has shown remarkable capabilities in generating diverse and realistic
content across different formats like images, videos, and text. In Generative AI, human …