[HTML][HTML] A systematic review of artificial intelligence-based music generation: Scope, applications, and future trends

M Civit, J Civit-Masot, F Cuadrado… - Expert Systems with …, 2022 - Elsevier
Currently available reviews in the area of artificial intelligence-based music generation do
not provide a wide range of publications and are usually centered around comparing very …

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 …

Wordcraft: story writing with large language models

A Yuan, A Coenen, E Reif, D Ippolito - Proceedings of the 27th …, 2022 - dl.acm.org
The latest generation of large neural language models such as GPT-3 have achieved new
levels of performance on benchmarks for language understanding and generation. These …

Design guidelines for prompt engineering text-to-image generative models

V Liu, LB Chilton - Proceedings of the 2022 CHI conference on human …, 2022 - dl.acm.org
Text-to-image generative models are a new and powerful way to generate visual artwork.
However, the open-ended nature of text as interaction is double-edged; while users can …

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 …

Reprompt: Automatic prompt editing to refine ai-generative art towards precise expressions

Y Wang, S Shen, BY Lim - Proceedings of the 2023 CHI conference on …, 2023 - dl.acm.org
Generative AI models have shown impressive ability to produce images with text prompts,
which could benefit creativity in visual art creation and self-expression. However, it is …

Investigating explainability of generative AI for code through scenario-based design

J Sun, QV Liao, M Muller, M Agarwal, S Houde… - Proceedings of the 27th …, 2022 - dl.acm.org
What does it mean for a generative AI model to be explainable? The emergent discipline of
explainable AI (XAI) has made great strides in helping people understand discriminative …

" Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction

SSY Kim, EA Watkins, O Russakovsky, R Fong… - Proceedings of the …, 2023 - dl.acm.org
Despite the proliferation of explainable AI (XAI) methods, little is understood about end-
users' explainability needs and behaviors around XAI explanations. To address this gap and …

Investigating how practitioners use human-ai guidelines: A case study on the people+ ai guidebook

N Yildirim, M Pushkarna, N Goyal… - Proceedings of the …, 2023 - dl.acm.org
Artificial intelligence (AI) presents new challenges for the user experience (UX) of products
and services. Recently, practitioner-facing resources and design guidelines have become …

Investigating code generation performance of ChatGPT with crowdsourcing social data

Y Feng, S Vanam, M Cherukupally… - 2023 IEEE 47th …, 2023 - ieeexplore.ieee.org
The recent advancements in Artificial Intelligence, particularly in large language models and
generative models, are reshaping the field of software engineering by enabling innovative …