Can ChatGPT write a good boolean query for systematic review literature search?

S Wang, H Scells, B Koopman, G Zuccon - Proceedings of the 46th …, 2023 - dl.acm.org
Systematic reviews are comprehensive literature reviews for a highly focused research
question. These reviews are considered the highest form of evidence in medicine. Complex …

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 …

A survey of large language models

WX Zhao, K Zhou, J Li, T Tang, X Wang, Y Hou… - arXiv preprint arXiv …, 2023 - arxiv.org
Language is essentially a complex, intricate system of human expressions governed by
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …

A prompt pattern catalog to enhance prompt engineering with chatgpt

J White, Q Fu, S Hays, M Sandborn, C Olea… - arXiv preprint arXiv …, 2023 - arxiv.org
Prompt engineering is an increasingly important skill set needed to converse effectively with
large language models (LLMs), such as ChatGPT. Prompts are instructions given to an LLM …

T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

C Mou, X Wang, L Xie, Y Wu, J Zhang, Z Qi… - Proceedings of the AAAI …, 2024 - ojs.aaai.org
The incredible generative ability of large-scale text-to-image (T2I) models has demonstrated
strong power of learning complex structures and meaningful semantics. However, relying …

Why Johnny can't prompt: how non-AI experts try (and fail) to design LLM prompts

JD Zamfirescu-Pereira, RY Wong, B Hartmann… - Proceedings of the …, 2023 - dl.acm.org
Pre-trained large language models (“LLMs”) like GPT-3 can engage in fluent, multi-turn
instruction-taking out-of-the-box, making them attractive materials for designing natural …

Attend-and-excite: Attention-based semantic guidance for text-to-image diffusion models

H Chefer, Y Alaluf, Y Vinker, L Wolf… - ACM Transactions on …, 2023 - dl.acm.org
Recent text-to-image generative models have demonstrated an unparalleled ability to
generate diverse and creative imagery guided by a target text prompt. While revolutionary …

Generative AI and ChatGPT: Applications, challenges, and AI-human collaboration

F Fui-Hoon Nah, R Zheng, J Cai, K Siau… - Journal of Information …, 2023 - Taylor & Francis
Artificial intelligence (AI) has elicited much attention across disciplines and industries (Hyder
et al., 2019). AI has been defined as “a system's ability to correctly interpret external data, to …

Diffusion self-guidance for controllable image generation

D Epstein, A Jabri, B Poole, A Efros… - Advances in Neural …, 2023 - proceedings.neurips.cc
Large-scale generative models are capable of producing high-quality images from detailed
prompts. However, many aspects of an image are difficult or impossible to convey through …

The creativity of text-to-image generation

J Oppenlaender - Proceedings of the 25th international academic …, 2022 - dl.acm.org
Text-guided synthesis of images has made a giant leap towards becoming a mainstream
phenomenon. With text-to-image generation systems, anybody can create digital images …