Oladipo, A., Adeyemi, M., Ahia, O., Owodunni, A. T., Ogundepo, O., Adelani, D. I., & Lin, J. (2023). Better Quality Pre-Training Data and T5 Models for African Languages Presented at the Better Quality Pre-Training Data and T5 Models for African Languages conference. Retrieved from https://aclanthology.org/2023.emnlp-main.11
References
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2023
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
Buchanan, G. R., McKay, D., & Clarke, C. (2023). Made to Measure: A Workshop on Human-Centred Metrics for Information Seeking Presented at the Made to Measure: A Workshop on Human-Centred Metrics for Information Seeking Primary Tabs View conference. https://doi.org/10.1145/3576840.3578301
Lin, S.-C., Asai, A., Li, M., Oguz, B., Lin, J., Mehdad, Y., … Chen, X. (2023). How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval ArXiv, abs/2302.07452. https://doi.org/10.48550/arXiv.2302.07452
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
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 Presented at the LEEK: Factual Error Detection and Correction With Evidence Retrieved From External Knowledge conference. Retrieved from https://aclanthology.org/2023.emnlp-demo.10
Zhong, W., Xie, Y., & Lin, J. (2023). Answer Retrieval for Math Questions Using Structural and Dense Retrieval Presented at the Retrieval for Math Questions Using Structural and Dense Retrieval Primary Tabs View conference. https://doi.org/10.1007/978-3-031-42448-9_18
Thakur, N., Ni, J., Abrego, G. H. andez \, Wieting, J., Lin, J., & Cer, D. (2023). Leveraging LLMs for Synthesizing Training Data Across Many Languages In Multilingual Dense Retrieval ArXiv, abs/2311.05800. https://doi.org/10.48550/ARXIV.2311.05800
Faggioli, G., Dietz, L., Clarke, C., Demartini, G., Hagen, M., Hauff, C., … Wachsmuth, H. (2023). Perspectives on Large Language Models for Relevance Judgment ArXiv, abs/2304.09161. https://doi.org/10.48550/arXiv.2304.09161
Ozsu, T., & Xue, X. (2023). Preface SDA Presented at the Conference Paper Preface SDA conference. Retrieved from https://ceur-ws.org/Vol-3462/SDA0.pdf