Sahu, S. ., & Salihoglu, S. . (2024). Optimizing Differential Computation for Large-Scale Graph Processing. Optimizing Differential Computation for Large-Scale Graph Processing Primary Tabs View. Presented at the. https://doi.org/10.1145/3661304.3661900
Publications
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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
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
Xian, J. ., Teofili, T. ., Pradeep, R. ., & Lin, J. . (2024). Vector Search With OpenAI Embeddings: Lucene Is All You Need. Vector 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
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. ., & Clarke, C. . (2024). A Comparison of Methods for Evaluating Generative IR. ArXiv, abs/2404.04044. https://doi.org/10.48550/ARXIV.2404.04044
Pradeep, R. ., & Lin, J. . (2024). Towards Automated End-to-End Health Misinformation Free Search With A Large Language Model. Automated End-to-End Health Misinformation Free Search With A Large Language Model. Presented at the. https://doi.org/10.1007/978-3-031-56066-8_9
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
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