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
Publications
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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
Rorseth, J. ., Godfrey, P. ., Golab, L. ., Kargar, M. ., Srivastava, D. ., & Szlichta, J. . (2023). CREDENCE: Counterfactual Explanations for Document Ranking. ArXiv, abs/2302.04983. https://doi.org/10.48550/arXiv.2302.04983
Faggioli, G. ., Dietz, L. ., Clarke, C. ., Demartini, G. ., Hagen, M. ., Hauff, C. ., Kando, N. ., Kanoulas, E. ., Potthast, M. ., Stein, B. ., & Wachsmuth, H. . (2023). Perspectives on Large Language Models for Relevance Judgment. ArXiv, abs/2304.09161. https://doi.org/10.48550/arXiv.2304.09161
Adeyemi, M. ., Oladipo, A. ., Zhang, X. C., Alfonso-Hermelo, D. ., Rezagholizadeh, M. ., Chen, B. ., & Lin, J. . (2023). Overview of the CIRAL Track at FIRE 2023: Cross-Lingual Information Retrieval for African Languages. CIRAL Track at FIRE 2023: Cross-Lingual Information Retrieval for African Languages. Presented at the. Retrieved from https://ceur-ws.org/Vol-3681/T2-1.pdf
Tang, R. ., Zhang, X. ., Lin, J. ., & Türe, F. . (2023). What Do Llamas Really Think? Revealing Preference Biases in Language Model Representations. ArXiv, abs/2311.18812. https://doi.org/10.48550/ARXIV.2311.18812
Usta, A. ., & Salihoglu, S. . (2023). To Join or Not to Join: An Analysis on the Usefulness of Joining Tables In Open Government Data Portals. To Join or Not to Join: An Analysis on the Usefulness of Joining Tables In Open Government Data Portals. Presented at the. Retrieved from https://ceur-ws.org/Vol-3462/TADA5.pdf
Ma, X. ., Fun, H. ., Yin, X. ., Mallia, A. ., & Lin, J. . (2023). Enhancing Sparse Retrieval via Unsupervised Learning. Enhancing Sparse Retrieval via Unsupervised Learning. Presented at the. https://doi.org/10.1145/3624918.3625334
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
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