References

Parsa, M. S., Shi, H., Xu, Y., Yim, A., Yin, Y., & Golab, L. (2022). Analyzing Climate Change Discussions on Reddit Presented at the Analyzing Climate Change Discussions on Reddit conference. https://doi.org/10.1109/CSCI58124.2022.00150

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

Li, M., Lin, S.-C., Oguz, B., Ghoshal, A., Lin, J., Mehdad, Y., … Chen, X. (2022). CITADEL: Conditional Token Interaction via Dynamic Lexical Routing For Efficient and Effective Multi-Vector Retrieval ArXiv, abs/2211.10411. https://doi.org/10.48550/arXiv.2211.10411

Li, H., Wang, S., Zhuang, S., Mourad, A., Ma, X., Lin, J., & Zuccon, G. (2022). To Interpolate or Not to Interpolate: PRF, Dense and Sparse Retrievers ArXiv, abs/2205.00235. https://doi.org/10.48550/arXiv.2205.00235

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

Parsa, M. S., Shi, H., Xu, Y., Yim, A., Yin, Y., & Golab, L. (2022). Analyzing Climate Change Discussions on Reddit Presented at the Analyzing Climate Change Discussions on Reddit conference. https://doi.org/10.1109/CSCI58124.2022.00150

Dadvar, V., Golab, L., & Srivastava, D. (2022). POEM: Pattern-Oriented Explanations of CNN Models Proceedings of the VLDB Endowment (PVLDB), 15, 3618-3621. Retrieved from https://www.vldb.org/pvldb/vol15/p3618-golab.pdf

Abebe, M., Lazu, H., & Daudjee, K. (2022). Proteus: Autonomous Adaptive Storage for Mixed Workloads Presented at the Proteus: Autonomous Adaptive Storage for Mixed Workloads conference. https://doi.org/10.1145/3514221.3517834

Lin, J., Alfonso-Hermelo, D., Jeronymo, V., Kamalloo, E., Lassance, C., Nogueira, R. F., … Zhang, X. (2022). Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval Presented at the Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval conference. Retrieved from https://trec.nist.gov/pubs/trec31/papers/h2oloo.N.pdf

Arabzadeh, N., Seifikar, M., & Clarke, C. (2022). Unsupervised Question Clarity Prediction Through Retrieved Item Coherency Presented at the Unsupervised Question Clarity Prediction Through Retrieved Item Coherency conference. https://doi.org/10.1145/3511808.3557719