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MS MARCO: A Human Generated MAchine Reading COmprehension Dataset, , , , , , , , , и 5 other автор(ы). (2016)cite arxiv:1611.09268.XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation., , , , , , , , , и 13 other автор(ы). CoRR, (2020)SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval., , , , , , , , , и . EMNLP (Industry Track), стр. 548-559. Association for Computational Linguistics, (2022)MS MARCO Web Search: a Large-scale Information-rich Web Dataset with Millions of Real Click Labels., , , , , , , , , и 21 other автор(ы). CoRR, (2024)Inference with Reference: Lossless Acceleration of Large Language Models., , , , , , , и . CoRR, (2023)Large Search Model: Redefining Search Stack in the Era of LLMs., , , , , и . SIGIR Forum, 57 (2): 23:1-23:16 (декабря 2023)PROD: Progressive Distillation for Dense Retrieval., , , , , , , , , и 1 other автор(ы). CoRR, (2022)PROD: Progressive Distillation for Dense Retrieval., , , , , , , , , и 1 other автор(ы). WWW, стр. 3299-3308. ACM, (2023)SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval., , , , , , , и . CoRR, (2022)Multilingual E5 Text Embeddings: A Technical Report., , , , , и . CoRR, (2024)