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
References
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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
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
Lin, S.-C., Gao, L., Oguz, B., Xiong, W., Lin, J., Yih, W.- tau, & Chen, X. (2024). FLAME: Factuality-Aware Alignment for Large Language Models ArXiv, abs/2405.01525. https://doi.org/10.48550/ARXIV.2405.01525
Pradeep, R., & Lin, J. (2024). Towards Automated End-to-End Health Misinformation Free Search With A Large Language Model Presented at the Automated End-to-End Health Misinformation Free Search With A Large Language Model conference. https://doi.org/10.1007/978-3-031-56066-8_9
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., 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
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., Golzadeh, K., Risi, C., Clarke, C., & Zhao, J. (2024). KnowFIRES: A Knowledge-Graph Framework for Interpreting Retrieved Entities From Search Presented at the FIRES: A Knowledge-Graph Framework for Interpreting Retrieved Entities From Search conference. https://doi.org/10.1007/978-3-031-56069-9_15
Usta, A., Liu, C., & Salihoglu, S. (2024). Analysis of Open Government Datasets From a Data Design and Integration Perspective Presented at the Analysis of Open Government Datasets From a Data Design and Integration Perspective conference. https://doi.org/10.48786/EDBT.2024.30