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As language-specific training data tends to be sparsely available compared to English, document retrieval in many languages has been largely relying on multilingual models.
Toward reproducible baselines: The open-source IR reproducibility challenge. In Advances in Information Retrieval: 38th European Conference on IR Research, ECIR 2016, Padua, Italy, March 20–23, 2016. Proceedings 38 . Springer, 408–420
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MS MARCO: A human generated machine reading comprehension dataset
Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, and Li Deng. 2016 · 2016
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Improving efficient neural ranking models with cross-architecture knowledge distillation
Sebastian Hofstätter, Sophia Althammer, Michael Schröder, Mete Sertkan, and Allan Hanbury. 2020 · 2020
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Colbert: Efficient and effective passage search via contextualized late interaction over bert. In Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval . 39–48
Omar Khattab and Matei Zaharia. 2020 · 2020
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Retrieval-augmented generation for knowledge-intensive nlp tasks
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Teaching a new dog old tricks: Resurrecting multilingual retrieval using zero-shot learning. In Advances in Information Retrieval: 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14–17, 2020, Proceedings, Part II 42 . Springer, 246–254
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LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) . 6442–6454
Ikuya Yamada, Akari Asai, Hiroyuki Shindo, Hideaki Takeda, and Yuji Matsumoto. 2020 · 2020
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MMARCO: A multilingual version of the MS MMARCO passage ranking dataset
Luiz Bonifacio, Vitor Jeronymo, Hugo Queiroz Abonizio, Israel Campiotti, Marzieh Fadaee, Roberto Lotufo, and Rodrigo Nogueira. 2021 · 2021
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BEIR: A heterogenous benchmark for zero-shot evaluation of information retrieval models
Nandan Thakur, Nils Reimers, Andreas Rücklé, Abhishek Srivastava, and Iryna Gurevych. 2021 · 2021
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Pretrained transformers for text ranking: BERT and beyond. In Proceedings of the 14th ACM International Conference on web search and data mining . 1154–1156
Andrew Yates, Rodrigo Nogueira, and Jimmy Lin. 2021 · 2021
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Optimizing dense retrieval model training with hard negatives. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval . 1503–1512
Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, and Shaoping Ma. 2021 · 2021
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Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval. In Proceedings of the 1st Workshop on Multilingual Representation Learning . 127–137
Xinyu Zhang, Xueguang Ma, Peng Shi, and Jimmy Lin. 2021 · 2021
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ライブコンペティション：「AI 王～クイズ AI 日本一決定戦～」
鈴木 潤, 松田 耕史, 鈴木 正敏, 加藤 拓真, 宮脇 峻平, and 西田 京介. 2021 · 2021
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JGLUE: Japanese general language understanding evaluation. In Proceedings of the Thirteenth Language Resources and Evaluation Conference . 2957–2966
Kentaro Kurihara, Daisuke Kawahara, and Tomohide Shibata. 2022 · 2022
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Text embeddings by weakly-supervised contrastive pre-training
Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, and Furu Wei. 2022b · 2022
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Niklas Muennighoff, Nouamane Tazi, Loïc Magne, and Nils Reimers. 2022 · 2022
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Transfer learning approaches for building cross-language dense retrieval models. In European Conference on Information Retrieval . Springer, 382–396
Suraj Nair, Eugene Yang, Dawn Lawrie, Kevin Duh, Paul McNamee, Kenton Murray, James Mayfield, and Douglas W Oard. 2022 · 2022
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Squeezing water from a stone: a bag of tricks for further improving cross-encoder effectiveness for reranking. In European Conference on Information Retrieval . Springer, 655–670
Ronak Pradeep, Yuqi Liu, Xinyu Zhang, Yilin Li, Andrew Yates, and Jimmy Lin. 2022 · 2022
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ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . 3715–3734
Keshav Santhanam, Omar Khattab, Jon Saad-Falcon, Christopher Potts, and Matei Zaharia. 2022 · 2022
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Progress in machine translation
Haifeng Wang, Hua Wu, Zhongjun He, Liang Huang, and Kenneth Ward Church. 2022a · 2022
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Yuichi Tateno. 2024a
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JQaRA: Japanese Question Answering with Retrieval Augmentation - 検索拡張(RAG)評価のための日本語Q&Aデータセット
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Shitao Xiao, Zheng Liu, Peitian Zhang, and Niklas Muennighof. 2023 · 2023
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