Papers with Language rectified flow
LanguageFlow: Advancing Diffusion Language Generation with Probabilistic Flows (2024.naacl-long)
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| Challenge: | Recent work has demonstrated success in controlling sentence attributes and structure based on diffusion language models. |
| Approach: | They propose a language-rectified flow method that reformulates standard probabilistic flow models to learn ordinary differential equations to transport between the source and target distributions. |
| Outcome: | The proposed method outperforms baselines on three fine-grained control tasks and multiple high-quality text editing tasks. |