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Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval.

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UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation., , , , , , , , , and . CoRR, (2023)Towards Better Entity Linking with Multi-View Enhanced Distillation., , , , , , , , , and . CoRR, (2023)PromptBERT: Improving BERT Sentence Embeddings with Prompts., , , , , , , , , and . EMNLP, page 8826-8837. Association for Computational Linguistics, (2022)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). CoRR, (2022)Snapshot-Guided Domain Adaptation for ELECTRA., , , , , , , and . EMNLP (Findings), page 2226-2232. Association for Computational Linguistics, (2022)RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction., , , , , , , , , and 1 other author(s). EMNLP, page 8870-8883. Association for Computational Linguistics, (2022)