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
Publications
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Arabzadeh, N. ., & Clarke, C. . (2024). Fr\ echet Distance for Offline Evaluation of Information Retrieval Systems With Sparse Labels. Fr\ Echet Distance for Offline Evaluation of Information Retrieval Systems With Sparse Labels. Presented at the. Retrieved from https://aclanthology.org/2024.eacl-long.26
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
Hebert, L. ., Sahu, G. ., Guo, Y. ., Sreenivas, N. K., Golab, L. ., & Cohen, R. . (2024). Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media. Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media. Presented at the. https://doi.org/10.1609/AAAI.V38I20.30213
Arabzadeh, N. ., Huo, S. ., Mehta, N. ., Wu, Q. ., Wang, C. ., Awadallah, A. ., Clarke, C. ., & Kiseleva, J. . (2024). Assessing and Verifying Task Utility in LLM-Powered Applications. ArXiv, abs/2405.02178. https://doi.org/10.48550/ARXIV.2405.02178
Azzopardi, L. ., Clarke, C. ., Kantor, P. B., Mitra, B. ., Trippas, J. R., & Ren, Z. . (2024). The Search Futures Workshop. The Search Futures Workshop. Presented at the. https://doi.org/10.1007/978-3-031-56069-9_57
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
Arabzadeh, N. ., Bigdeli, A. ., & Clarke, C. . (2024). Adapting Standard Retrieval Benchmarks to Evaluate Generated Answers. Adapting Standard Retrieval Benchmarks to Evaluate Generated Answers. Presented at the. https://doi.org/10.1007/978-3-031-56060-6_26
Xian, J. ., Teofili, T. ., Pradeep, R. ., & Lin, J. . (2024). Vector Search With OpenAI Embeddings: Lucene Is All You Need. Search With OpenAI Embeddings: Lucene Is All You Need. Presented at the. https://doi.org/10.1145/3616855.3635691
Faggioli, G. ., Dietz, L. ., Clarke, C. ., Demartini, G. ., Hagen, M. ., Hauff, C. ., Kando, N. ., Kanoulas, E. ., Potthast, M. ., Stein, B. ., & 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