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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

Tang, R., Zhang, X., Ma, X., Lin, J., & Türe, F. (2023). Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models ArXiv, abs/2310.07712. https://doi.org/10.48550/ARXIV.2310.07712

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

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 conference. https://doi.org/10.1145/3576840.3578301

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

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

Huang, C., Xie, Y., Jiang, Z., Lin, J., & Li, M. (2023). Approximating Human-Like Few-Shot Learning With GPT-based Compression ArXiv, abs/2308.06942. https://doi.org/10.48550/arXiv.2308.06942

Zhang, C., Bonifati, A., & Ozsu, T. (2023). Indexing Techniques for Graph Reachability Queries ArXiv, abs/2311.03542. https://doi.org/10.48550/ARXIV.2311.03542

Hebert, L., Golab, L., & Cohen, R. (2023). Predicting Hateful Discussions on Reddit Using Graph Transformer Networks And Communal Context ArXiv, abs/2301.04248. https://doi.org/10.48550/arXiv.2301.04248

Zou, L., Pang, Y., Ozsu, T., & Chen, J. (2023). Efficient Execution of SPARQL Queries With OPTIONAL and UNION Expressions ArXiv, abs/2303.13844. https://doi.org/10.48550/arXiv.2303.13844