A survey of controllable text generation using transformer-based pre-trained language models

H Zhang, H Song, S Li, M Zhou, D Song - ACM Computing Surveys, 2023 - dl.acm.org
Controllable Text Generation (CTG) is an emerging area in the field of natural language
generation (NLG). It is regarded as crucial for the development of advanced text generation …

Conditional text generation for harmonious human-machine interaction

B Guo, H Wang, Y Ding, W Wu, S Hao, Y Sun… - ACM Transactions on …, 2021 - dl.acm.org
In recent years, with the development of deep learning, text-generation technology has
undergone great changes and provided many kinds of services for human beings, such as …

Shaping Human-AI Collaboration: Varied Scaffolding Levels in Co-writing with Language Models

PS Dhillon, S Molaei, J Li, M Golub, S Zheng… - Proceedings of the CHI …, 2024 - dl.acm.org
Advances in language modeling have paved the way for novel human-AI co-writing
experiences. This paper explores how varying levels of scaffolding from large language …

Benchmarking llms for translating classical chinese poetry: Evaluating adequacy, fluency, and elegance

A Chen, L Lou, K Chen, X Bai, Y Xiang, M Yang… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models (LLMs) have shown remarkable performance in translation tasks.
However, the increasing demand for high-quality translations that are not only adequate but …

A sentiment and style controllable approach for Chinese poetry generation

Y Shao, T Shao, M Wang, P Wang, J Gao - Proceedings of the 30th ACM …, 2021 - dl.acm.org
Sentiment and style control are two vital aspects in automatic poetry generation. Excellent
Chinese classical poetry should express a certain emotion and embody a specific style at …

Mixpoet: Diverse poetry generation via learning controllable mixed latent space

X Yi, R Li, C Yang, W Li, M Sun - … of the AAAI conference on artificial …, 2020 - ojs.aaai.org
As an essential step towards computer creativity, automatic poetry generation has gained
increasing attention these years. Though recent neural models make prominent progress in …

Ai as author–bridging the gap between machine learning and literary theory

I Van Heerden, A Bas - Journal of Artificial Intelligence Research, 2021 - jair.org
Anticipating the rise in Artificial Intelligence's ability to produce original works of literature,
this study suggests that literariness, or that which constitutes a text as literary, is …

Is it possible to modify text to a target readability level? an initial investigation using zero-shot large language models

A Farajidizaji, V Raina, M Gales - arXiv preprint arXiv:2309.12551, 2023 - arxiv.org
Text simplification is a common task where the text is adapted to make it easier to
understand. Similarly, text elaboration can make a passage more sophisticated, offering a …

Don't Go Far Off: An Empirical Study on Neural Poetry Translation

T Chakrabarty, A Saakyan, S Muresan - arXiv preprint arXiv:2109.02972, 2021 - arxiv.org
Despite constant improvements in machine translation quality, automatic poetry translation
remains a challenging problem due to the lack of open-sourced parallel poetic corpora, and …

Enhancing ancient Chinese understanding with derived noisy syntax trees

P Wang, S Zhang, Z Li, J Hou - … of the 61st Annual Meeting of the …, 2023 - aclanthology.org
Despite the rapid development of neural-based models, syntax still plays a crucial role in
modern natural language processing. However, few studies have incorporated syntactic …