mFollowIR: a Multilingual Benchmark for Instruction Following in Retrieval

Voorhees, E., Harman, D.: Overview of the fifth text retrieval conference (trec-5). In: TREC (1996)

1996

Earlier work this paper cites.

Broder, A.: A taxonomy of web search. In: ACM Sigir forum, vol. 36, pp. 3–10, ACM New York, NY, USA (2002)

2002

Earlier work this paper cites.

Soboroff, I., Robertson, S.: Building a filtering test collection for trec 2002. In: Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval, pp. 243–250 (2003)

2003

Earlier work this paper cites.

Buckley, C., Dimmick, D., Soboroff, I., Voorhees, E.: Bias and the limits of pooling for large collections. Information retrieval 10

2007

Earlier work this paper cites.

Dang, H.T., Kelly, D., Lin, J., et al.: Overview of the trec 2007 question answering track. In: Trec, vol. 7, p. 63 (2007)

2007

Earlier work this paper cites.

Agirre, E., Nunzio, G.M.D., Ferro, N., Mandl, T., Peters, C.: Clef 2008: Ad hoc track overview. In: Workshop of the Cross-Language Evaluation Forum for European Languages, pp. 15–37, Springer (2008)

2008

Earlier work this paper cites.

Bendersky, M., Croft, W.B.: Discovering key concepts in verbose queries. In: Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (2008), URL https://api.semanticscholar.org/CorpusID:2512107

2008

Earlier work this paper cites.

Bendersky, M., Croft, W.B.: Analysis of long queries in a large scale search log. In: WSCD ’09 (2009), URL https://api.semanticscholar.org/CorpusID:7989387

2009

Earlier work this paper cites.

Ferro, N., Peters, C.: Clef 2009 ad hoc track overview: Tel and persian tasks. In: Workshop of the Cross-Language Evaluation Forum for European Languages, pp. 13–35, Springer (2009)

2009

Earlier work this paper cites.

Bendersky, M., Metzler, D., Croft, W.B.: Parameterized concept weighting in verbose queries. In: Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval, pp. 605–614 (2011)

2011

Earlier work this paper cites.

Gupta, M., Bendersky, M.: Information retrieval with verbose queries. In: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1121–1124 (2015)

2015

Earlier work this paper cites.

Nguyen, T., Rosenberg, M., Song, X., Gao, J., Tiwary, S., Majumder, R., Deng, L.: MS MARCO: A human generated machine reading comprehension dataset. CoRR abs/1611.09268

Original

2016

Earlier work this paper cites.

Van Gysel, C., de Rijke, M.: Pytrec_eval: An extremely fast python interface to trec_eval. In: SIGIR, ACM (2018)

2018

Earlier work this paper cites.

Asai, A., Choi, E.: Challenges in information-seeking qa: Unanswerable questions and paragraph retrieval. arXiv preprint arXiv:2010.11915 (2020)

Original

2020

Earlier work this paper cites.

Clark, J.H., Choi, E., Collins, M., Garrette, D., Kwiatkowski, T., Nikolaev, V., Palomaki, J.: Tydi qa: A benchmark for information-seeking question answering in ty pologically di verse languages. Transactions of the Association for Computational Linguistics 8

2020

Earlier work this paper cites.

Craswell, N., Mitra, B., Yilmaz, E., Campos, D., Voorhees, E.M.: Overview of the TREC 2019 deep learning track. arXiv preprint arXiv:2003.07820 (2020)

Original

2020

Earlier work this paper cites.

Karpukhin, V., Oğuz, B., Min, S., Lewis, P., Wu, L., Edunov, S., Chen, D., Yih, W.t.: Dense passage retrieval for open-domain question answering. arXiv preprint arXiv:2004.04906 (2020)

Original

2020

Earlier work this paper cites.

Virtanen, P., Gommers, R., Oliphant, T.E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., et al.: Scipy 1.0: fundamental algorithms for scientific computing in python. Nature methods 17

2020

Earlier work this paper cites.

Weller, O., Lourie, N., Gardner, M., Peters, M.E.: Learning from task descriptions. arXiv preprint arXiv:2011.08115 (2020)

Original

2020

Earlier work this paper cites.

Asai, A., Kasai, J., Clark, J.H., Lee, K., Choi, E., Hajishirzi, H.: Xor qa: Cross-lingual open-retrieval question answering. In: Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 547–564 (2021)

2021

Earlier work this paper cites.

Bonifacio, L., Jeronymo, V., Abonizio, H.Q., Campiotti, I., Fadaee, M., Lotufo, R., Nogueira, R.: mmarco: A multilingual version of the ms marco passage ranking dataset. arXiv preprint arXiv:2108.13897 (2021)

Original

2021

Earlier work this paper cites.

Izacard, G., Caron, M., Hosseini, L., Riedel, S., Bojanowski, P., Joulin, A., Grave, E.: Unsupervised dense information retrieval with contrastive learning. arXiv preprint arXiv:2112.09118 (2021)

Original

2021

Cited alongside, same era.

Soboroff, I.: Overview of trec 2021. In: 30th Text REtrieval Conference. Gaithersburg, Maryland (2021)

2021

Cited alongside, same era.

Abe, K., Shinden, K., Kato, M.P.: Kasys at the trec 2022 neuclir track. In: TREC (2022)

2022

Cited alongside, same era.

Asai, A., Schick, T., Lewis, P., Chen, X., Izacard, G., Riedel, S., Hajishirzi, H., Yih, W.t.: Task-aware retrieval with instructions. arXiv preprint arXiv:2211.09260 (2022)

Original

2022

Cited alongside, same era.

Bassani, E.: ranx: A blazing-fast python library for ranking evaluation and comparison. In: European Conference on Information Retrieval, pp. 259–264, Springer (2022)

Wang, L., Yang, N., Huang, X., Yang, L., Majumder, R., Wei, F.: Improving text embeddings with large language models. arXiv preprint arXiv:2401.00368 (2023)

Original

2023

Later among the works it cites.

Yoran, O., Wolfson, T., Ram, O., Berant, J.: Making retrieval-augmented language models robust to irrelevant context. arXiv preprint arXiv:2310.01558 (2023)

Original

2023

Later among the works it cites.

Zhang, X., Thakur, N., Ogundepo, O., Kamalloo, E., Alfonso-Hermelo, D., Li, X., Liu, Q., Rezagholizadeh, M., Lin, J.: MIRACL: A Multilingual Retrieval Dataset Covering 18 Diverse Languages. Transactions of the Association for Computational Linguistics 11

2023

Later among the works it cites.

Zhou, J., Lu, T., Mishra, S., Brahma, S., Basu, S., Luan, Y., Zhou, D., Hou, L.: Instruction-following evaluation for large language models. arXiv preprint arXiv:2311.07911 (2023)

Original

2023

Later among the works it cites.