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 …

Building machines that learn and think with people

KM Collins, I Sucholutsky, U Bhatt, K Chandra… - Nature human …, 2024‏ - nature.com
What do we want from machine intelligence? We envision machines that are not just tools
for thought but partners in thought: reasonable, insightful, knowledgeable, reliable and …

Co-writing with opinionated language models affects users' views

M Jakesch, A Bhat, D Buschek, L Zalmanson… - Proceedings of the …, 2023‏ - dl.acm.org
If large language models like GPT-3 preferably produce a particular point of view, they may
influence people's opinions on an unknown scale. This study investigates whether a …

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 …

Coauthor: Designing a human-ai collaborative writing dataset for exploring language model capabilities

M Lee, P Liang, Q Yang - Proceedings of the 2022 CHI conference on …, 2022‏ - dl.acm.org
Large language models (LMs) offer unprecedented language generation capabilities and
exciting opportunities for interaction design. However, their highly context-dependent …

Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support

A Sharma, IW Lin, AS Miner, DC Atkins… - Nature Machine …, 2023‏ - nature.com
Advances in artificial intelligence (AI) are enabling systems that augment and collaborate
with humans to perform simple, mechanistic tasks such as scheduling meetings and …

On the opportunities and risks of foundation models

R Bommasani, DA Hudson, E Adeli, R Altman… - arxiv preprint arxiv …, 2021‏ - arxiv.org
AI is undergoing a paradigm shift with the rise of models (eg, BERT, DALL-E, GPT-3) that are
trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …

Evaluating human-language model interaction

M Lee, M Srivastava, A Hardy, J Thickstun… - arxiv preprint arxiv …, 2022‏ - arxiv.org
Many real-world applications of language models (LMs), such as writing assistance and
code autocomplete, involve human-LM interaction. However, most benchmarks are non …

A design space for intelligent and interactive writing assistants

M Lee, KI Gero, JJY Chung, SB Shum… - Proceedings of the …, 2024‏ - dl.acm.org
In our era of rapid technological advancement, the research landscape for writing assistants
has become increasingly fragmented across various research communities. We seek to …

Does writing with language models reduce content diversity?

V Padmakumar, H He - arxiv preprint arxiv:2309.05196, 2023‏ - arxiv.org
Large language models (LLMs) have led to a surge in collaborative writing with model
assistance. As different users incorporate suggestions from the same model, there is a risk of …