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
Shehata, D., Arabzadeh, N., & Clarke, C. (2022). Early Stage Sparse Retrieval With Entity Linking ArXiv, abs/2208.04887. https://doi.org/10.48550/arXiv.2208.04887
Hebert, L., Golab, L., & Cohen, R. (2022). Predicting Hateful Discussions on Reddit Using Graph Transformer Networks And Communal Context Presented at the Predicting Hateful Discussions on Reddit Using Graph Transformer Networks And Communal Context conference. https://doi.org/10.1109/WI-IAT55865.2022.00012
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
Tang, R., Kumar, K., Yang, G., Pandey, A., Mao, Y., Belyaev, V., … Lin, J. (2022). SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale ArXiv, abs/2211.11740. https://doi.org/10.48550/arXiv.2211.11740
Hebert, L., Golab, L., Poupart, P., & Cohen, R. (2022). FedFormer: Contextual Federation With Attention in Reinforcement Learning ArXiv, abs/2205.13697. https://doi.org/10.48550/arXiv.2205.13697
Li, M., Zhang, X., Xin, J., Zhang, H., & Lin, J. (2022). Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking Presented at the Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking conference. Retrieved from https://aclanthology.org/2022.emnlp-main.23
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
Abebe, M., Lazu, H., & Daudjee, K. (2022). Tiresias: Enabling Predictive Autonomous Storage and Indexing Proceedings of the VLDB Endowment (PVLDB), 15, 3126-3136. Retrieved from https://www.vldb.org/pvldb/vol15/p3126-abebe.pdf