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
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
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
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
Arabzadeh, N., Huo, S., Mehta, N., Wu, Q., Wang, C., Awadallah, A., … Kiseleva, J. (2024). Assessing and Verifying Task Utility in LLM-Powered Applications ArXiv, abs/2405.02178. https://doi.org/10.48550/ARXIV.2405.02178
Khalaji, M., Brown, T., Daudjee, K., & Aksenov, V. (2024). Practical Hardware Transactional vEB Trees Presented at the Practical Hardware Transactional VEB Trees conference. https://doi.org/10.1145/3627535.3638504
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 IRES: A Knowledge-Graph Framework for Interpreting Retrieved Entities From Search conference. https://doi.org/10.1007/978-3-031-56069-9_15
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
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