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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

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

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

Lin, J. (2022). Building a Culture of Reproducibility in Academic Research ArXiv, abs/2212.13534. https://doi.org/10.48550/arXiv.2212.13534

Gao, L., Ma, X., Lin, J., & Callan, J. (2022). Tevatron: An Efficient and Flexible Toolkit for Dense Retrieval ArXiv, abs/2203.05765. https://doi.org/10.48550/arXiv.2203.05765

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

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

Ilyas, I., Rekatsinas, T., Konda, V., Pound, J., Qi, X., & Soliman, M. A. (2022). Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale Presented at the Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale conference. https://doi.org/10.1145/3514221.3526049