Arabzadeh, N., & Clarke, C. (2024). Fréchet Distance for Offline Evaluation of Information Retrieval Systems With Sparse Labels ArXiv, abs/2401.17543. https://doi.org/10.48550/ARXIV.2401.17543
References
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2024
Azzopardi, L., Clarke, C., Kantor, P. B., Mitra, B., Trippas, J. R., & Ren, Z. (2024). The Search Futures Workshop Presented at the The Search Futures Workshop conference. https://doi.org/10.1007/978-3-031-56069-9_57
Sharifymoghaddam, S., Upadhyay, S., Chen, W., & Lin, J. (2024). UniRAG: Universal Retrieval Augmentation for Multi-Modal Large Language Models ArXiv, abs/2405.10311. https://doi.org/10.48550/ARXIV.2405.10311
Arabzadeh, N., & Clarke, C. (2024). Fr\ echet Distance for Offline Evaluation of Information Retrieval Systems With Sparse Labels Presented at the Fr\ Echet Distance for Offline Evaluation of Information Retrieval Systems With Sparse Labels conference. Retrieved from https://aclanthology.org/2024.eacl-long.26
Arabzadeh, N., Golzadeh, K., Risi, C., Clarke, C., & Zhao, J. (2024). KnowFIRES: A Knowledge-Graph Framework for Interpreting Retrieved Entities From Search Presented at the FIRES: A Knowledge-Graph Framework for Interpreting Retrieved Entities From Search conference. https://doi.org/10.1007/978-3-031-56069-9_15
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
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
Sahu, S., & Salihoglu, S. (2024). Optimizing Differential Computation for Large-Scale Graph Processing Presented at the Optimizing Differential Computation for Large-Scale Graph Processing Primary Tabs View conference. https://doi.org/10.1145/3661304.3661900
Xian, J., Teofili, T., Pradeep, R., & Lin, J. (2024). Vector Search With OpenAI Embeddings: Lucene Is All You Need Presented at the Vector Search With OpenAI Embeddings: Lucene Is All You Need conference. https://doi.org/10.1145/3616855.3635691
Golzadeh, K., Golab, L., & Szlichta, J. (2024). Explaining Expert Search and Team Formation Systems With ExES ArXiv, abs/2405.12881. https://doi.org/10.48550/ARXIV.2405.12881