| BEIR: A heterogenous benchmark for zero-shot evaluation of information retrieval models N Thakur, N Reimers, A Rücklé, A Srivastava, I Gurevych Proceedings of the Neural Information Processing Systems Track on Datasets …, 2021 | 958 | 2021 |
| Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks N Thakur, N Reimers, J Daxenberger, I Gurevych Proceedings of the 2021 Conference of the North American Chapter of the …, 2020 | 271 | 2020 |
| GPL: Generative pseudo labeling for unsupervised domain adaptation of dense retrieval K Wang, N Thakur, N Reimers, I Gurevych arXiv preprint arXiv:2112.07577, 2021 | 164 | 2021 |
| MIRACL: A Multilingual Retrieval Dataset Covering 18 Diverse Languages X Zhang, N Thakur, O Ogundepo, E Kamalloo, D Alfonso-Hermelo, X Li, ... Transactions of the Association for Computational Linguistics 11, 1114-1131, 2023 | 118* | 2023 |
| Hagrid: A human-llm collaborative dataset for generative information-seeking with attribution E Kamalloo, A Jafari, X Zhang, N Thakur, J Lin arXiv preprint arXiv:2307.16883, 2023 | 41 | 2023 |
| Evaluating embedding APIs for information retrieval E Kamalloo, X Zhang, O Ogundepo, N Thakur, D Alfonso-Hermelo, ... arXiv preprint arXiv:2305.06300, 2023 | 23 | 2023 |
| Injecting Domain Adaptation with Learning-to-hash for Effective and Efficient Zero-shot Dense Retrieval N Thakur, N Reimers, J Lin arXiv preprint arXiv:2205.11498, 2022 | 19* | 2022 |
| “Knowing When You Don’t Know”: A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation N Thakur, L Bonifacio, C Zhang, O Ogundepo, E Kamalloo, DA Hermelo, ... Findings of the Association for Computational Linguistics: EMNLP 2024, 12508 …, 2024 | 17* | 2024 |
| BEIR: a heterogenous benchmark for zero-shot evaluation of information retrieval models (2021) N Thakur, N Reimers, A Rücklé, A Srivastava, I Gurevych URL https://arxiv. org/abs/2104.08663 v4, 2021 | 16 | 2021 |
| Resources for brewing beir: Reproducible reference models and statistical analyses E Kamalloo, N Thakur, C Lassance, X Ma, JH Yang, J Lin Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 15* | 2024 |
| Umbrela: Umbrela is the (open-source reproduction of the) bing relevance assessor S Upadhyay, R Pradeep, N Thakur, N Craswell, J Lin arXiv preprint arXiv:2406.06519, 2024 | 11 | 2024 |
| Simple yet effective neural ranking and reranking baselines for cross-lingual information retrieval J Lin, D Alfonso-Hermelo, V Jeronymo, E Kamalloo, C Lassance, ... arXiv preprint arXiv:2304.01019, 2023 | 11 | 2023 |
| Leveraging llms for synthesizing training data across many languages in multilingual dense retrieval N Thakur, J Ni, GH Ábrego, J Wieting, J Lin, D Cer arXiv preprint arXiv:2311.05800, 2023 | 10 | 2023 |
| Augmented SBERT: data augmentation method for improving bi-encoders for pairwise sentence scoring tasks 2020 N Thakur, N Reimers, J Daxenberger, I Gurevych arXiv preprint arXiv:2010.08240, 2021 | 7 | 2021 |
| Systematic evaluation of neural retrieval models on the touché 2020 argument retrieval subset of BEIR N Thakur, L Bonifacio, M Fröbe, A Bondarenko, E Kamalloo, M Potthast, ... Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 6 | 2024 |
| A Large-Scale Study of Relevance Assessments with Large Language Models: An Initial Look S Upadhyay, R Pradeep, N Thakur, D Campos, N Craswell, I Soboroff, ... arXiv preprint arXiv:2411.08275, 2024 | 5 | 2024 |
| Ragnar\" ok: A Reusable RAG Framework and Baselines for TREC 2024 Retrieval-Augmented Generation Track R Pradeep, N Thakur, S Sharifymoghaddam, E Zhang, R Nguyen, ... arXiv preprint arXiv:2406.16828, 2024 | 5 | 2024 |
| SPRINT: A unified toolkit for evaluating and demystifying zero-shot neural sparse retrieval N Thakur, K Wang, I Gurevych, J Lin Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 4 | 2023 |
| MMTEB: Massive Multilingual Text Embedding Benchmark K Enevoldsen, I Chung, I Kerboua, M Kardos, A Mathur, D Stap, J Gala, ... arXiv preprint arXiv:2502.13595, 2025 | 1 | 2025 |
| Initial nugget evaluation results for the trec 2024 rag track with the autonuggetizer framework R Pradeep, N Thakur, S Upadhyay, D Campos, N Craswell, J Lin arXiv preprint arXiv:2411.09607, 2024 | 1 | 2024 |
Jimmy LinUniversity of WaterlooВерификована је имејл адреса на uwaterloo.ca