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Evaluating Embedding APIs for Information Retrieval.

, , , , , , и . ACL (industry), стр. 518-526. Association for Computational Linguistics, (2023)

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Amrita Nandan

Mohit Thakur

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Pratima Thakur

Sunil Thakur

 

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BEIR: A Heterogeneous Benchmark for Zero-shot Evaluation of Information Retrieval Models., , , , и . NeurIPS Datasets and Benchmarks, (2021)Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks., , , и . NAACL-HLT, стр. 296-310. Association for Computational Linguistics, (2021)Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval., , , , , и . CoRR, (2023)UMBRELA: UMbrela is the (Open-Source Reproduction of the) Bing RELevance Assessor., , , , и . CoRR, (2024)Resources for Brewing BEIR: Reproducible Reference Models and Statistical Analyses., , , , , и . SIGIR, стр. 1431-1440. ACM, (2024)Evaluating Embedding APIs for Information Retrieval., , , , , , и . ACL (industry), стр. 518-526. Association for Computational Linguistics, (2023)Systematic Evaluation of Neural Retrieval Models on the Touché 2020 Argument Retrieval Subset of BEIR., , , , , , , и . SIGIR, стр. 1420-1430. ACM, (2024)SPRINT: A Unified Toolkit for Evaluating and Demystifying Zero-shot Neural Sparse Retrieval., , , и . SIGIR, стр. 2964-2974. ACM, (2023)Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval., , , , , , , , , и 1 other автор(ы). TREC, том 500-338 из NIST Special Publication, National Institute of Standards and Technology (NIST), (2022)GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval., , , и . NAACL-HLT, стр. 2345-2360. Association for Computational Linguistics, (2022)