Papers by Chunli Lv
Structure Guided Retrieval-Augmented Generation for Factual Queries (2026.acl-long)
Copied to clipboard
| Challenge: | Existing methods for RAG produce factually incorrect outputs, resulting in incorrect answers. |
| Approach: | They propose a novel problem that explicitly incorporates structural information into RAG for factual questions to satisfy all query conditions. |
| Outcome: | The proposed method significantly outperforms baselines on ERQA while maintaining reasonable computational overhead. |