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
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Zhuang, S. ., Ma, X. ., Koopman, B. ., Lin, J. ., & Zuccon, G. . (2024). PromptReps: Prompting Large Language Models to Generate Dense And Sparse Representations for Zero-Shot Document Retrieval. ArXiv, abs/2404.18424. https://doi.org/10.48550/ARXIV.2404.18424
Arabzadeh, N. ., & Clarke, C. . (2024). A Comparison of Methods for Evaluating Generative IR. ArXiv, abs/2404.04044. https://doi.org/10.48550/ARXIV.2404.04044
Arabzadeh, N. ., & Clarke, C. . (2024). Fr\ echet Distance for Offline Evaluation of Information Retrieval Systems With Sparse Labels. ArXiv, abs/2401.17543. https://doi.org/10.48550/ARXIV.2401.17543
Bonifati, A. ., Ozsu, T. ., Tian, Y. ., Voigt, H. ., Yu, W. ., & Zhang, W. . (2024). The Future of Graph Analytics. The Future of Graph Analytics. Presented at the. https://doi.org/10.1145/3626246.3658369
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
Li, M. ., Chen, X. ., Holtzman, A. ., Chen, B. ., Lin, J. ., Yih, W.- tau ., & Lin, X. V. (2024). Nearest Neighbor Speculative Decoding for LLM Generation and Attribution. ArXiv, abs/2405.19325. https://doi.org/10.48550/ARXIV.2405.19325
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
Arabzadeh, N. ., & Clarke, C. . (2024). A Comparison of Methods for Evaluating Generative IR. ArXiv, abs/2404.04044. https://doi.org/10.48550/ARXIV.2404.04044
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