Abualsaud, M., & Smucker, M. (2022). The Dark Side of Relevance: The Effect of Non-Relevant Results On Search Behavior Presented at the The Dark Side of Relevance: The Effect of Non-Relevant Results On Search Behavior conference. https://doi.org/10.1145/3498366.3505770
References
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2022
Mazmudar, M., Humphries, T., Liu, J., Rafuse, M., & He, X. (2022). Cache Me if You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration ArXiv, abs/2211.15732. https://doi.org/10.48550/arXiv.2211.15732
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
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
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, 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
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
Mohapatra, S., Sasy, S., He, X., Kamath, G., & Thakkar, O. (2022). The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection Presented at the The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection conference. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/20749
Lin, J. (2022). Building a Culture of Reproducibility in Academic Research ArXiv, abs/2212.13534. https://doi.org/10.48550/arXiv.2212.13534