Zhang, X., Ogueji, K., Ma, X., & Lin, J. (2024). Toward Best Practices for Training Multilingual Dense Retrieval Models ACM Transactions on Information Systems (TOIS), 42, 1-39. https://doi.org/10.1145/3613447
References
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Alaofi, M., Arabzadeh, N., Clarke, C., & Sanderson, M. (2024). Generative Information Retrieval Evaluation ArXiv, abs/2404.08137. https://doi.org/10.48550/ARXIV.2404.08137
Rorseth, J., Godfrey, P., Golab, L., Srivastava, D., & Szlichta, J. (2024). RAGE Against the Machine: Retrieval-Augmented LLM Explanations ArXiv, abs/2405.13000. https://doi.org/10.48550/ARXIV.2405.13000
Sahu, S., & Salihoglu, S. (2024). Optimizing Differential Computation for Large-Scale Graph Processing Presented at the Optimizing Differential Computation for Large-Scale Graph Processing conference. https://doi.org/10.1145/3661304.3661900
Pradeep, R., & Lin, J. (2024). Towards Automated End-to-End Health Misinformation Free Search With A Large Language Model Presented at the Automated End-to-End Health Misinformation Free Search With A Large Language Model conference. https://doi.org/10.1007/978-3-031-56066-8_9
Usta, A., Liu, C., & Salihoglu, S. (2024). Analysis of Open Government Datasets From a Data Design and Integration Perspective Presented at the Analysis of Open Government Datasets From a Data Design and Integration Perspective conference. https://doi.org/10.48786/EDBT.2024.30
Arabzadeh, N., Kiseleva, J., Wu, Q., Wang, C., Awadallah, A., Dibia, V., … Clarke, C. (2024). Towards Better Human-Agent Alignment: Assessing Task Utility in LLM-Powered Applications ArXiv, abs/2402.09015. https://doi.org/10.48550/ARXIV.2402.09015
Lin, J., Li, J., Gao, J., Ma, W., & Liu, Y. (2024). Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification Presented at the Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification conference. https://doi.org/10.1609/AAAI.V38I12.29288
Upadhyay, S., Kamalloo, E., & Lin, J. (2024). LLMs Can Patch Up Missing Relevance Judgments in Evaluation ArXiv, abs/2405.04727. https://doi.org/10.48550/ARXIV.2405.04727
Faggioli, G., Dietz, L., Clarke, C., Demartini, G., Hagen, M., Hauff, C., … Wachsmuth, H. (2024). Who Determines What Is Relevant? Humans or AI? Why Not Both? Communications of the ACM, 67, 31-34. https://doi.org/10.1145/3624730