Verifiable Generation with Subsentence-Level Fine-Grained Citations (2024.findings-acl)
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| Challenge: | Existing work mainly targets the generation of sentence-level citations, lacking specificity about which parts of a sentence are backed by the cited sources. |
| Approach: | They propose to use subsentence-level fine-grained citations to generate more precise location of generated content supported by the cited sources. |
| Outcome: | The proposed model improves the accuracy and trustworthiness of large language models by allowing users to trace the information back to its source and verify its correctness. |
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