Thakur, N., Bonifacio, L., Zhang, X., Ogundepo, O., Kamalloo, E., Alfonso-Hermelo, D., … Lin, J. (2023). NoMIRACL: Knowing When You Don\textquoterightt Know for Robust Multilingual Retrieval-Augmented Generation ArXiv, abs/2312.11361. https://doi.org/10.48550/ARXIV.2312.11361
References
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Kamphuis, C., Lin, A., Yang, S., Lin, J., de Vries, A. P., & Hasibi, F. (2023). MMEAD: MS MARCO Entity Annotations and Disambiguations ArXiv, abs/2309.07574. https://doi.org/10.48550/arXiv.2309.07574
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Tamber, M. S., Pradeep, R., & Lin, J. (2023). Pre-Processing Matters! Improved Wikipedia Corpora for Open-Domain Question Answering Presented at the Pre-Processing Matters! Improved Wikipedia Corpora for Open-Domain Question Answering conference. https://doi.org/10.1007/978-3-031-28241-6_11
Kassaie, B., & Tompa, F. (2023). Autonomously Computable Information Extraction Proceedings of the VLDB Endowment (PVLDB), 16, 2431-2443. https://doi.org/10.14778/3603581.3603585
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Hebert, L., Golab, L., Poupart, P., & Cohen, R. (2023). FedFormer: Contextual Federation With Attention in Reinforcement Learning Presented at the FedFormer: Contextual Federation With Attention in Reinforcement Learning conference. https://doi.org/10.5555/3545946.3598716
Hildred, J., Abebe, M., & Daudjee, K. (2023). Caerus: Low-Latency Distributed Transactions for Geo-Replicated Systems Proceedings of the VLDB Endowment (PVLDB), 17, 469-482. Retrieved from https://www.vldb.org/pvldb/vol17/p469-hildred.pdf
Ma, X., Teofili, T., & Lin, J. (2023). Anserini Gets Dense Retrieval: Integration of Lucene\textquoterights HNSW Indexes ArXiv, abs/2304.12139. https://doi.org/10.48550/arXiv.2304.12139
Ghasemitaheri, S., Holcomb, A., Golab, L., & Keshav, S. (2023). On the Data Quality of Remotely Sensed Forest Maps Presented at the On the Data Quality of Remotely Sensed Forest Maps conference. Retrieved from https://ceur-ws.org/Vol-3462/QDB3.pdf