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Lin, S.-C. ., Yang, J.-H. ., & Lin, J. . (2021). In-Batch Negatives for Knowledge Distillation With Tightly-Coupled Teachers for Dense Retrieval. In-Batch Negatives for Knowledge Distillation With Tightly-Coupled Teachers for Dense Retrieval. Presented at the. Retrieved from https://aclanthology.org/2021.repl4nlp-1.17

Mackenzie, J. ., Trotman, A. ., & Lin, J. . (2021). Wacky Weights in Learned Sparse Representations and the Revenge Of Score-at-a-Time Query Evaluation. ArXiv, abs/2110.11540. Retrieved from https://arxiv.org/abs/2110.11540

Pradeep, R. ., Ma, X. ., Nogueira, R. F., & Lin, J. . (2021). Scientific Claim Verification With VerT5erini. Scientific Claim Verification With VerT5erini . Presented at the. Retrieved from https://www.aclweb.org/anthology/2021.louhi-1.11/

Lin, S.-C. ., Yang, J.-H. ., & Lin, J. . (2021). Contextualized Query Embeddings for Conversational Search. Contextualized Query Embeddings for Conversational Search. Presented at the. Retrieved from https://aclanthology.org/2021.emnlp-main.77

Toman, D. ., & Weddell, G. . (2021). FO Rewritability for OMQ Using Beth Definability and Interpolation. FO Rewritability for OMQ Using Beth Definability and Interpolatio. Presented at the. Retrieved from http://ceur-ws.org/Vol-2954/paper-29.pdf

Suri, S. ., Ilyas, I. ., e, C. R., & Rekatsinas, T. . (2021). Ember: No-Code Context Enrichment via Similarity-Based Keyless Joins. Proceedings of the VLDB Endowment (PVLDB), 15, 699-712. Retrieved from http://www.vldb.org/pvldb/vol15/p699-suri.pdf

Mohapatra, S. ., Sasy, S. ., He, X. ., Kamath, G. ., & Thakkar, O. . (2021). The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection. ArXiv, abs/2111.04906. Retrieved from https://arxiv.org/abs/2111.04906

Parsa, M. S., & Golab, L. . (2021). Academic Integrity in Online Education During the COVID-19 Pandemic: A Social Media Mining Study. Academic Integrity in Online Education During the COVID-19 Pandemic: A Social Media Mining Study. Presented at the.

Sheshbolouki, A. ., & Ozsu, T. . (2021). Scale-Invariant Strength Assortativity of Streaming Butterflies. ArXiv, abs/2111.12217. Retrieved from https://arxiv.org/abs/2111.12217

Arabzadeh, N. ., Yan, X. ., & Clarke, C. . (2021). Predicting Efficiency/Effectiveness Trade-Offs for Dense vs. Sparse Retrieval Strategy Selection. Predicting Efficiency Effectiveness Trade-Offs for Dense Vs. Sparse Retrieval Strategy Selection. Presented at the. https://doi.org/10.1145/3459637.3482159