KD-Boost: Boosting Real-Time Semantic Matching in E-commerce with Knowledge Distillation (2023.emnlp-industry)
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| Challenge: | Existing SOTA techniques for semantic matching are mostly based on Siamese networks. |
| Approach: | They propose a novel knowledge distillation algorithm designed for real-time semantic matching . they train low latency accurate student models by leveraging soft labels from a teacher model . |
| Outcome: | The proposed algorithm outperforms teacher and SOTA knowledge distillation benchmarks on e-commerce datasets. |
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