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PROD: Progressive Distillation for Dense Retrieval., , , , , , , , , and 1 other author(s). CoRR, (2022)Multilingual E5 Text Embeddings: A Technical Report., , , , , and . CoRR, (2024)BeamSearchQA: Large Language Models are Strong Zero-Shot QA Solver., , , , , , , , , and . CoRR, (2023)SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval., , , , , , , and . CoRR, (2022)PROD: Progressive Distillation for Dense Retrieval., , , , , , , , , and 1 other author(s). WWW, page 3299-3308. ACM, (2023)SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval., , , , , , , and . ACL (1), page 2244-2258. Association for Computational Linguistics, (2023)MS MARCO: A Human Generated MAchine Reading COmprehension Dataset, , , , , , , , , and 5 other author(s). (2016)cite arxiv:1611.09268.XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation., , , , , , , , , and 13 other author(s). CoRR, (2020)SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval., , , , , , , , , and . EMNLP (Industry Track), page 548-559. Association for Computational Linguistics, (2022)Inference with Reference: Lossless Acceleration of Large Language Models., , , , , , , and . CoRR, (2023)