Shi, P., Zhang, R., Bai, H., & Lin, J. (2022). XRICL: Cross-Lingual Retrieval-Augmented in-Context Learning For Cross-Lingual Text-to-SQL Semantic Parsing Presented at the XRICL: Cross-Lingual Retrieval-Augmented In-Context Learning For Cross-Lingual Text-to-SQL Semantic Parsing conference. Retrieved from https://aclanthology.org/2022.findings-emnlp.384
References
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Ogundepo, O., Zhang, X., Sun, S., Duh, K., & Lin, J. (2022). AfriCLIRMatrix: Enabling Cross-Lingual Information Retrieval for African Languages Presented at the AfriCLIRMatrix: Enabling Cross-Lingual Information Retrieval for African Languages conference. Retrieved from https://aclanthology.org/2022.emnlp-main.597
Voorhees, E. M., Soboroff, I., & Lin, J. (2022). Can Old TREC Collections Reliably Evaluate Modern Neural Retrieval Models? ArXiv, abs/2201.11086. Retrieved from https://arxiv.org/abs/2201.11086
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Kamphuis, C., Hasibi, F., Lin, J., & de Vries, A. P. (2022). REBL: Entity Linking at Scale (Prototype) Presented at the REBL: Entity Linking at Scale (Prototype) conference. Retrieved from https://ceur-ws.org/Vol-3480/paper-08.pdf
Zhong, W., Yang, J.-H., & Lin, J. (2022). Evaluating Token-Level and Passage-Level Dense Retrieval Models For Math Information Retrieval ArXiv, abs/2203.11163. https://doi.org/10.48550/arXiv.2203.11163