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Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search., , , , , , , , , and 2 other author(s). CoRR, (2022)To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion., , , , , , , , , and 1 other author(s). ACL (1), page 6335-6347. Association for Computational Linguistics, (2023)Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings., , , , , , , , , and 1 other author(s). SIGIR, page 1513-1523. ACM, (2022)Learning Fast Matching Models from Weak Annotations., , , , , , , and . WWW, page 2985-2991. ACM, (2019)Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings., , , , , , , , , and 3 other author(s). CoRR, (2022)Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval., , , , , , , , , and 2 other author(s). WWW, page 286-296. ACM, (2022)Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search., , , , , , , , , and 2 other author(s). KDD, page 4493-4501. ACM, (2022)