Recent advances in recurrent neural networks
Recurrent neural networks (RNNs) are capable of learning features and long term
dependencies from sequential and time-series data. The RNNs have a stack of non-linear …
dependencies from sequential and time-series data. The RNNs have a stack of non-linear …
FUDGE: Controlled text generation with future discriminators
K Yang, D Klein - arxiv preprint arxiv:2104.05218, 2021 - arxiv.org
We propose Future Discriminators for Generation (FUDGE), a flexible and modular method
for controlled text generation. Given a pre-existing model G for generating text from a …
for controlled text generation. Given a pre-existing model G for generating text from a …
Style transfer in text: Exploration and evaluation
The ability to transfer styles of texts or images, is an important measurement of the
advancement of artificial intelligence (AI). However, the progress in language style transfer …
advancement of artificial intelligence (AI). However, the progress in language style transfer …
A survey on intelligent poetry generation: Languages, features, techniques, reutilisation and evaluation
HG Oliveira - Proceedings of the 10th international conference on …, 2017 - aclanthology.org
Poetry generation is becoming popular among researchers of Natural Language
Generation, Computational Creativity and, broadly, Artificial Intelligence. To produce text that …
Generation, Computational Creativity and, broadly, Artificial Intelligence. To produce text that …
When creators meet the metaverse: A survey on computational arts
The metaverse, enormous virtual-physical cyberspace, has brought unprecedented
opportunities for artists to blend every corner of our physical surroundings with digital …
opportunities for artists to blend every corner of our physical surroundings with digital …
Creative writing with a machine in the loop: Case studies on slogans and stories
As the quality of natural language generated by artificial intelligence systems improves,
writing interfaces can support interventions beyond grammar-checking and spell-checking …
writing interfaces can support interventions beyond grammar-checking and spell-checking …
Help me write a poem: Instruction tuning as a vehicle for collaborative poetry writing
Recent work in training large language models (LLMs) to follow natural language
instructions has opened up exciting opportunities for natural language interface design …
instructions has opened up exciting opportunities for natural language interface design …
PlotMachines: Outline-conditioned generation with dynamic plot state tracking
We propose the task of outline-conditioned story generation: given an outline as a set of
phrases that describe key characters and events to appear in a story, the task is to generate …
phrases that describe key characters and events to appear in a story, the task is to generate …
Guided open vocabulary image captioning with constrained beam search
Existing image captioning models do not generalize well to out-of-domain images
containing novel scenes or objects. This limitation severely hinders the use of these models …
containing novel scenes or objects. This limitation severely hinders the use of these models …
Targeted phishing campaigns using large scale language models
R Karanjai - arxiv preprint arxiv:2301.00665, 2022 - arxiv.org
In this research, we aim to explore the potential of natural language models (NLMs) such as
GPT-3 and GPT-2 to generate effective phishing emails. Phishing emails are fraudulent …
GPT-3 and GPT-2 to generate effective phishing emails. Phishing emails are fraudulent …