Thakur, N. ., Bonifacio, L. ., Zhang, X. ., Ogundepo, O. ., Kamalloo, E. ., Alfonso-Hermelo, D. ., Li, X. ., Liu, Q. ., Chen, B. ., Rezagholizadeh, M. ., & 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
Publications
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Lin, J. ., Pradeep, R. ., Teofili, T. ., & Xian, J. . (2023). Vector Search With OpenAI Embeddings: Lucene Is All You Need. ArXiv, abs/2308.14963. https://doi.org/10.48550/arXiv.2308.14963
Ren, H. ., Mousavi, A. ., Pacaci, A. ., Chowdhury, S. R., Mohoney, J. ., Ilyas, I. ., Li, Y. ., & Rekatsinas, T. . (2023). Fact Ranking Over Large-Scale Knowledge Graphs With Reasoning Embedding Models. IEEE Data Engineering Bulletin, 46, 126-139. Retrieved from http://sites.computer.org/debull/A23june/p126.pdf
Durvasula, S. ., Kiguru, R. ., Mathur, S. ., Xu, J. ., Lin, J. ., & Vijaykumar, N. . (2022). VoxelCache: Accelerating Online Mapping in Robotics and 3D Reconstruction Tasks. ArXiv, abs/2210.08729. https://doi.org/10.48550/arXiv.2210.08729
Nanayakkara, P. ., Bater, J. ., He, X. ., Hullman, J. ., & Rogers, J. . (2022). Visualizing Privacy-Utility Trade-Offs in Differentially Private Data Releases. Proceedings on Privacy Enhancing Technologies (PoPETs), 2022, 601-618. https://doi.org/10.2478/popets-2022-0058
Sadri, N. ., & Cormack, G. . (2022). Continuous Active Learning Using Pretrained Transformers. ArXiv, abs/2208.06955. https://doi.org/10.48550/arXiv.2208.06955
Guo, R. ., Guo, V. ., Kim, A. ., Hildred, J. ., & Daudjee, K. . (2022). Hydrozoa: Dynamic Hybrid-Parallel DNN Training on Serverless Containers. Hydrozoa: Dynamic Hybrid-Parallel DNN Training on Serverless Containers. Presented at the. Retrieved from https://proceedings.mlsys.org/paper/2022/hash/ea5d2f1c4608232e07d3aa3d998e5135-Abstract.html
Pacaci, A. ., Bonifati, A. ., & Ozsu, T. . (2022). Evaluating Complex Queries on Streaming Graphs. Evaluating Complex Queries on Streaming Graphs. Presented at the. https://doi.org/10.1109/ICDE53745.2022.00025
Jiang, Z. ., Dai, Y. ., Xin, J. ., Li, M. ., & Lin, J. . (2022). Few-Shot Non-Parametric Learning With Deep Latent Variable Model. ArXiv, abs/2206.11573. https://doi.org/10.48550/arXiv.2206.11573
Karegar, R. ., Mirsafian, M. ., Godfrey, P. ., Golab, L. ., Kargar, M. ., Srivastava, D. ., & Szlichta, J. . (2022). Discovering Domain Orders via Order Dependencies. Discovering Domain Orders via Order Dependencies. Presented at the. https://doi.org/10.1109/ICDE53745.2022.00087