| Challenge: | Existing embedding-based retrieval models face the "semantic drift" problem . a low adoption rate of retrieval results is evident in real-time search scenarios . |
| Approach: | They propose an embedding-based retrieval approach that enhances real-time retrieval performance by adding contrastive learning to the dual-encoder model. |
| Outcome: | The proposed approach improves the dual-encoder model of traditional EBR. |
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| Challenge: | Recent studies show the effectiveness of retrieval augmentation in many generative NLP tasks. |
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Retrieval-Enhanced Dual Encoder Training for Product Matching (2023.emnlp-industry)
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