A survey of controllable text generation using transformer-based pre-trained language models
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 …
generation (NLG). It is regarded as crucial for the development of advanced text generation …
Conditional text generation for harmonious human-machine interaction
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 …
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
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 …
experiences. This paper explores how varying levels of scaffolding from large language …
Benchmarking llms for translating classical chinese poetry: Evaluating adequacy, fluency, and elegance
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 …
However, the increasing demand for high-quality translations that are not only adequate but …
A sentiment and style controllable approach for Chinese poetry generation
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 …
Chinese classical poetry should express a certain emotion and embody a specific style at …
Mixpoet: Diverse poetry generation via learning controllable mixed latent space
As an essential step towards computer creativity, automatic poetry generation has gained
increasing attention these years. Though recent neural models make prominent progress in …
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 …
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
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 …
understand. Similarly, text elaboration can make a passage more sophisticated, offering a …
Don't Go Far Off: An Empirical Study on Neural Poetry Translation
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 …
remains a challenging problem due to the lack of open-sourced parallel poetic corpora, and …
Enhancing ancient Chinese understanding with derived noisy syntax trees
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 …
modern natural language processing. However, few studies have incorporated syntactic …