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Ma, X., Wang, L., Yang, N., Wei, F., & Lin, J. (2023). Fine-Tuning LLaMA for Multi-Stage Text Retrieval ArXiv, abs/2310.08319. https://doi.org/10.48550/ARXIV.2310.08319

Lin, S.-C., Asai, A., Li, M., Oguz, B., Lin, J., Mehdad, Y., … Chen, X. (2023). How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval ArXiv, abs/2302.07452. https://doi.org/10.48550/arXiv.2302.07452

Usta, A., & Salihoglu, S. (2023). To Join or Not to Join: An Analysis on the Usefulness of Joining Tables In Open Government Data Portals Presented at the To Join or Not to Join: An Analysis on the Usefulness of Joining Tables In Open Government Data Portals conference. Retrieved from https://ceur-ws.org/Vol-3462/TADA5.pdf

Salihoglu, S. (2023). K\ uzu: A Database Management System for "Beyond Relational" Workloads SIGMOD Record, 52, 39-40. https://doi.org/10.1145/3631504.3631514

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

Hebert, L., Golab, L., Poupart, P., & Cohen, R. (2023). FedFormer: Contextual Federation With Attention in Reinforcement Learning Presented at the FedFormer: Contextual Federation With Attention in Reinforcement Learning conference. https://doi.org/10.5555/3545946.3598716

Thakur, N., Bonifacio, L., Zhang, X., Ogundepo, O., Kamalloo, E., Alfonso-Hermelo, D., … Lin, J. (2023). NoMIRACL: Knowing When You Don\textquoterightt Know for Robust Multilingual Retrieval-Augmented Generation ArXiv, abs/2312.11361. https://doi.org/10.48550/ARXIV.2312.11361

Ma, X., Teofili, T., & Lin, J. (2023). Anserini Gets Dense Retrieval: Integration of Lucene\textquoterights HNSW Indexes ArXiv, abs/2304.12139. https://doi.org/10.48550/arXiv.2304.12139

Wu, Z., Deshmukh, A. A., Wu, Y., Lin, J., & Mou, L. (2023). Unsupervised Chunking With Hierarchical RNN ArXiv, abs/2309.04919. https://doi.org/10.48550/arXiv.2309.04919