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Dadvar, V., Golab, L., & Srivastava, D. (2023). POEM: Pattern-Oriented Explanations of Convolutional Neural Networks Proceedings of the VLDB Endowment (PVLDB), 16, 3192-3200. https://doi.org/10.14778/3611479.3611518

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

Pradeep, R., Sharifymoghaddam, S., & Lin, J. (2023). RankVicuna: Zero-Shot Listwise Document Reranking With Open-Source Large Language Models ArXiv, abs/2309.15088. https://doi.org/10.48550/ARXIV.2309.15088

Zhang, X., Li, M., & Lin, J. (2023). Improving Out-of-Distribution Generalization of Neural Rerankers With Contextualized Late Interaction ArXiv, abs/2302.06589. https://doi.org/10.48550/arXiv.2302.06589

Zhang, S., & He, X. (2023). DProvDB: Differentially Private Query Processing With Multi-Analyst Provenance ArXiv, abs/2309.10240. https://doi.org/10.48550/arXiv.2309.10240

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

Pradeep, R., Hui, K., Gupta, J., Lelkes, A. am D., Zhuang, H., Lin, J., … Tran, V. Q. (2023). How Does Generative Retrieval Scale to Millions of Passages? Presented at the How Does Generative Retrieval Scale to Millions of Passages? conference. Retrieved from https://aclanthology.org/2023.emnlp-main.83

Adeyemi, M., Oladipo, A., Pradeep, R., & Lin, J. (2023). Zero-Shot Cross-Lingual Reranking With Large Language Models for Low-Resource Languages ArXiv, abs/2312.16159. https://doi.org/10.48550/ARXIV.2312.16159

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

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 Presented at the Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphs conference. Retrieved from https://aclanthology.org/2023.emnlp-main.100