ImKeTT/CTG-latentAEs
[Paperlist] Awesome paper list of controllable text generation via latent auto-encoders. Contributions of any kind are welcome.
This is a curated list of academic papers focusing on techniques that allow users to control the output of text generation systems. It categorizes research by how the systems are trained (supervised, semi-supervised, self-supervised) and by the type of control applied (e.g., specific keywords or overall sentiment). The ideal users are researchers or practitioners working on advanced text generation and natural language processing.
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Use this if you are a researcher or advanced practitioner exploring methods for generating text that adheres to specific stylistic elements, topics, or keywords.
Not ideal if you are looking for an off-the-shelf tool or a simple API to perform text generation tasks without deep technical understanding of the underlying models.
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Dec 23, 2022
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