Lin, S.-C., Ahmad, A., & Lin, J. (2023). mAggretriever: A Simple Yet Effective Approach to Zero-Shot Multilingual Dense Retrieval Presented at the MAggretriever: A Simple Yet Effective Approach to Zero-Shot Multilingual Dense Retrieval conference. Retrieved from https://aclanthology.org/2023.emnlp-main.715
References
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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
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
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
Ma, X., Teofili, T., & Lin, J. (2023). Anserini Gets Dense Retrieval: Integration of Lucene\textquoterights HNSW Indexes Presented at the Anserini Gets Dense Retrieval: Integration of Lucene\textquoterights HNSW Indexes conference. https://doi.org/10.1145/3583780.3615112
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
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
Bauer, C., Carterette, B., Ferro, N., Fuhr, N., Beel, J., Breuer, T., … Zobel, J. (2023). Report on the Dagstuhl Seminar on Frontiers of Information Access Experimentation for Research and Education SIGIR Forum, 57, 1-7. https://doi.org/10.1145/3636341.3636351
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
Ren, H., Mousavi, A., Pacaci, A., Chowdhury, S. R., Mohoney, J., Ilyas, I., … Rekatsinas, T. (2023). Fact Ranking Over Large-Scale Knowledge Graphs With Reasoning Embedding Models IEEE Data Engineering Bulletin, 46, 126-139. Retrieved from http://sites.computer.org/debull/A23june/p126.pdf