Papers with topic-controlled generation
Attribute Alignment: Controlling Text Generation from Pre-trained Language Models (2021.findings-emnlp)
Copied to clipboard
| Challenge: | Large language models can generate text with sentiment polarity or specific topics without changing the original model parameters. |
| Approach: | They propose a method for controlling text generation by aligning disentangled attribute representations. |
| Outcome: | The proposed method shows large performance gains while maintaining diversity and fluency. |