Papers with exploration of modular text generation
Multi-Review Fusion-in-Context (2024.findings-naacl)
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| Challenge: | Current methods for generating text are opaque and difficult to control and interpret due to their opaque nature. |
| Approach: | They propose a modular approach with separate components for each step . they formalize Fusion-in-Context as a standalone task, whose input consists of source texts with highlighted spans of targeted content. |
| Outcome: | The proposed approach is based on a curated dataset of 1000 instances in the reviews domain and a novel evaluation framework for assessing the faithfulness and coverage of highlights. |