DocReRank: Single-Page Hard Negative Query Generation for Training Multi-Modal RAG Rerankers (2025.emnlp-main)
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| Challenge: | Existing models focus on identifying relevant documents, but embedding similarity often limits accuracy. |
| Approach: | They propose a method to generate hard negative queries per page instead of negative pages per query . they propose to refine ranking of an initial set of retrieved documents using hard negative mining . |
| Outcome: | The proposed approach outperforms existing models and significantly improves retrieval performance. |
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