Papers with unsupervised critiquing module
Assistive Recipe Editing through Critiquing (2023.eacl-main)
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| Challenge: | Existing methods for generating recipes that satisfy dietary restrictions are inconsistent or incoherent and paired datasets are not available at scale. |
| Approach: | They propose to build a hierarchical denoising auto-encoder that edits recipes given ingredient-level critiques by interacting with the predicted ingredients. |
| Outcome: | The proposed model can more effectively edit recipes compared to strong language models and iteratively rewrites recipes to satisfy user feedback. |