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
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 Presented at the Multi-Modal Discussion Transformer: Integrating Text, Images and Graph Transformers to Detect Hate Speech on Social Media conference. https://doi.org/10.1609/AAAI.V38I20.30213
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
Arabzadeh, N., Bigdeli, A., & Clarke, C. (2024). Adapting Standard Retrieval Benchmarks to Evaluate Generated Answers Presented at the Adapting Standard Retrieval Benchmarks to Evaluate Generated Answers conference. https://doi.org/10.1007/978-3-031-56060-6_26
Pradeep, R., & Lin, J. (2024). Towards Automated End-to-End Health Misinformation Free Search With A Large Language Model Presented at the End-to-End Health Misinformation Free Search With A Large Language Model conference. https://doi.org/10.1007/978-3-031-56066-8_9
Xian, J., Teofili, T., Pradeep, R., & Lin, J. (2024). Vector Search With OpenAI Embeddings: Lucene Is All You Need Presented at the 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
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