Huo, S., Arabzadeh, N., & Clarke, C. (2023). Retrieving Supporting Evidence for Generative Question Answering ArXiv, abs/2309.11392. https://doi.org/10.48550/arXiv.2309.11392
References
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Feng, E., Borgida, A., Franconi, E., Patel-Schneider, P. F., Toman, D., & Weddell, G. (2023). Path Description Dependencies in Feature-Based DLs Presented at the Path Description Dependencies in Feature-Based DLs conference. Retrieved from https://ceur-ws.org/Vol-3515/paper-10.pdf
Ozsu, T. (2023). Data Science: A Systematic Treatment ArXiv, abs/2301.13761. https://doi.org/10.48550/arXiv.2301.13761
Ozsu, T., & Xue, X. (2023). Preface SDA Presented at the Conference Paper Preface SDA conference. Retrieved from https://ceur-ws.org/Vol-3462/SDA0.pdf
Chen, H., Lassance, C., & Lin, J. (2023). End-to-End Retrieval With Learned Dense and Sparse Representations Using Lucene ArXiv, abs/2311.18503. https://doi.org/10.48550/ARXIV.2311.18503
Kamalloo, E., Dziri, N., Clarke, C., & Rafiei, D. (2023). Evaluating Open-Domain Question Answering in the Era of Large Language Models ArXiv, abs/2305.06984. https://doi.org/10.48550/arXiv.2305.06984
Pradeep, R., Sharifymoghaddam, S., & Lin, J. (2023). RankVicuna: Zero-Shot Listwise Document Reranking With Open-Source Large Language Models ArXiv, abs/2309.15088. https://doi.org/10.48550/ARXIV.2309.15088
Adeyemi, M., Oladipo, A., Pradeep, R., & Lin, J. (2023). Zero-Shot Cross-Lingual Reranking With Large Language Models for Low-Resource Languages ArXiv, abs/2312.16159. https://doi.org/10.48550/ARXIV.2312.16159
Zong, S., Seltzer, J., Pan, J., Cheng, K., & Lin, J. (2023). Which Model Shall I Choose? Cost/Quality Trade-Offs for Text Classification Tasks ArXiv, abs/2301.07006. https://doi.org/10.48550/arXiv.2301.07006
Kamalloo, E., Jafari, A., Zhang, X., Thakur, N., & Lin, J. (2023). HAGRID: A Human-LLM Collaborative Dataset for Generative Information-Seeking With Attribution ArXiv, abs/2307.16883. https://doi.org/10.48550/arXiv.2307.16883