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
References
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2023
Lin, J., Alfonso-Hermelo, D., Jeronymo, V., Kamalloo, E., Lassance, C., Nogueira, R. F., … Zhang, X. (2023). Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval ArXiv, abs/2304.01019. https://doi.org/10.48550/arXiv.2304.01019
Adeyemi, M., Oladipo, A., Zhang, X., Alfonso-Hermelo, D., Rezagholizadeh, M., Chen, B., & Lin, J. (2023). CIRAL at FIRE 2023: Cross-Lingual Information Retrieval for African Languages Presented at the CIRAL at FIRE 2023: Cross-Lingual Information Retrieval for African Languages conference. https://doi.org/10.1145/3632754.3633076
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Fernando, L., Bindra, H., & Daudjee, K. (2023). An Experimental Analysis of Quantile Sketches Over Data Streams Presented at the An Experimental Analysis of Quantile Sketches Over Data Streams conference. https://doi.org/10.48786/edbt.2023.34
Tamber, M. S., Pradeep, R., & Lin, J. (2023). Scaling Down, LiTting Up: Efficient Zero-Shot Listwise Reranking With Seq2seq Encoder-Decoder Models ArXiv, abs/2312.16098. https://doi.org/10.48550/ARXIV.2312.16098
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
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