Li, M., Zhuang, H., Hui, K., Qin, Z., Lin, J., Jagerman, R., … Bendersky, M. (2023). Generate, Filter, and Fuse: Query Expansion via Multi-Step Keyword Generation for Zero-Shot Neural Rankers ArXiv, abs/2311.09175. https://doi.org/10.48550/ARXIV.2311.09175
References
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2023
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
Sheshbolouki, A., & Ozsu, T. (2023). sGrow: Explaining the Scale-Invariant Strength Assortativity of Streaming Butterflies ACM Transactions on the Web, 17, 1-24. https://doi.org/10.1145/3572408
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
Yang, J.-H., Lassance, C., de Rezende, R. S., Srinivasan, K., Redi, M., Clinchant, S. ephane, & Lin, J. (2023). AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation ArXiv, abs/2304.01961. https://doi.org/10.48550/arXiv.2304.01961
Lin, S.-C., & Lin, J. (2023). A Dense Representation Framework for Lexical and Semantic Matching ACM Transactions on Information Systems (TOIS), 41, 1-110. https://doi.org/10.1145/3582426
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
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
Chen, H., Lassance, C., & Lin, J. (2023). End-to-End Retrieval With Learned Dense and Sparse Representations Using Lucene ArXiv, abs/2311.18503. https://doi.org/10.48550/ARXIV.2311.18503
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