Zhong, W., Yang, J.-H., Xie, Y., & Lin, J. (2022). Evaluating Token-Level and Passage-Level Dense Retrieval Models For Math Information Retrieval Presented at the Evaluating Token-Level and Passage-Level Dense Retrieval Models For Math Information Retrieval conference. Retrieved from https://aclanthology.org/2022.findings-emnlp.78
References
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Chopra, S., & Golab, L. (2022). Gender Differences in Early Career Performance Reviews: A Text Mining Study Presented at the Gender Differences in Early Career Performance Reviews: A Text Mining Study conference. Retrieved from http://ceur-ws.org/Vol-3135/darliap_paper3.pdf
Yan, D., Guo, G., Khalil, J., Ozsu, T., Ku, W.-S., & Lui, J. C. S. (2022). G-Thinker: A General Distributed Framework for Finding Qualified Subgraphs In a Big Graph With Load Balancing The VLDB Journal, 31, 287-320. https://doi.org/10.1007/s00778-021-00688-z
Kamphuis, C., Hasibi, F., Lin, J., & de Vries, A. P. (2022). REBL: Entity Linking at Scale (Prototype) Presented at the REBL: Entity Linking at Scale (Prototype) conference. Retrieved from https://ceur-ws.org/Vol-3480/paper-08.pdf
Ozsu, T. (2022). Reminiscences on Influential Papers SIGMOD Record, 51, 44-46. https://doi.org/10.1145/3552490.3552499
Seltzer, J., Cheng, K., Zong, S., & Lin, J. (2022). Flipping the Script: Inverse Information Seeking Dialogues for Market Research Presented at the Flipping the Script: Inverse Information Seeking Dialogues for Market Research conference. https://doi.org/10.1145/3477495.3536326
Lin, S.-C., Li, M., & Lin, J. (2022). Aggretriever: A Simple Approach to Aggregate Textual Representation For Robust Dense Passage Retrieval ArXiv, abs/2208.00511. https://doi.org/10.48550/arXiv.2208.00511
Pacaci, A., Bonifati, A., & Ozsu, T. (2022). Evaluating Complex Queries on Streaming Graphs Presented at the Evaluating Complex Queries on Streaming Graphs conference. https://doi.org/10.1109/ICDE53745.2022.00025
Lin, J., Campos, D., Craswell, N., Mitra, B., & Yilmaz, E. (2022). Fostering Coopetition While Plugging Leaks: The Design and Implementation Of the MS MARCO Leaderboards Presented at the Fostering Coopetition While Plugging Leaks: The Design and Implementation Of the MS MARCO Leaderboards conference. https://doi.org/10.1145/3477495.3531725
Artikis, A., Tatbul, N., Golab, L., & Sadoghi, M. (2022). Editorial Information Systems, 109, 102088. https://doi.org/10.1016/j.is.2022.102088