Shehata, D., Cohen, R., & Clarke, C. (2024). Rumour Evaluation With Very Large Language Models ArXiv, abs/2404.16859. https://doi.org/10.48550/ARXIV.2404.16859
References
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2024
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
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
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). A Comparison of Methods for Evaluating Generative IR ArXiv, abs/2404.04044. https://doi.org/10.48550/ARXIV.2404.04044
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
Lin, J., Li, J., Gao, J., Ma, W., & Liu, Y. (2024). Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification ArXiv, abs/2404.15279. https://doi.org/10.48550/ARXIV.2404.15279
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
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
Arabzadeh, N., Bigdeli, A., & Clarke, C. (2024). Adapting Standard Retrieval Benchmarks to Evaluate Generated Answers ArXiv, abs/2401.04842. https://doi.org/10.48550/ARXIV.2401.04842