Kamalloo, E., Dziri, N., Clarke, C., & Rafiei, D. (2023). Evaluating Open-Domain Question Answering in the Era of Large Language Models ArXiv, abs/2305.06984. https://doi.org/10.48550/arXiv.2305.06984
References
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Zhang, X., Thakur, N., Ogundepo, O., Kamalloo, E., Alfonso-Hermelo, D., Li, X., … Lin, J. (2023). MIRACL: A Multilingual Retrieval Dataset Covering 18 Diverse Languages Transactions of the Association for Computational Linguistics, 11, 1114-1131. https://doi.org/10.1162/TACL_A_00595
Adeyemi, M., Oladipo, A., Zhang, X. C., Alfonso-Hermelo, D., Rezagholizadeh, M., Chen, B., & Lin, J. (2023). Overview of the CIRAL Track at FIRE 2023: Cross-Lingual Information Retrieval for African Languages Presented at the CIRAL Track at FIRE 2023: Cross-Lingual Information Retrieval for African Languages conference. Retrieved from https://ceur-ws.org/Vol-3681/T2-1.pdf
Conia, S., Li, M., Lee, D., Minhas, U. F., Ilyas, I., & Li, Y. (2023). Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphs ArXiv, abs/2311.15781. https://doi.org/10.48550/ARXIV.2311.15781
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
Bayat, F. F., Qian, K., Han, B., Sang, Y., Belyi, A., Khorshidi, S., … Li, Y. (2023). FLEEK: Factual Error Detection and Correction With Evidence Retrieved From External Knowledge ArXiv, abs/2310.17119. https://doi.org/10.48550/ARXIV.2310.17119
Akiki, C., Ogundepo, O., Piktus, A., Zhang, X., Oladipo, A., Lin, J., & Potthast, M. (2023). Spacerini: Plug-and-Play Search Engines With Pyserini and Hugging Face ArXiv, abs/2302.14534. https://doi.org/10.48550/arXiv.2302.14534
Ma, X., Wang, L., Yang, N., Wei, F., & Lin, J. (2023). Fine-Tuning LLaMA for Multi-Stage Text Retrieval ArXiv, abs/2310.08319. https://doi.org/10.48550/ARXIV.2310.08319
Hebert, L., Chen, H. Y., Cohen, R., & Golab, L. (2023). Qualitative Analysis of a Graph Transformer Approach to Addressing Hate Speech: Adapting to Dynamically Changing Content ArXiv, abs/2301.10871. https://doi.org/10.48550/arXiv.2301.10871
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