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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2022
Liu, Y., Hu, C., & Lin, J. (2022). Another Look at Information Retrieval as Statistical Translation Presented at the Another Look at Information Retrieval As Statistical Translation conference. https://doi.org/10.1145/3477495.3531717
2021
Kato, M. P., Liu, Y., Kando, N., & Clarke, C. (2021). Report on the 15th Round of NII Testbeds and Community for Information Access Research (NTCIR-15) SIGIR Forum, 55, 1-21. https://doi.org/10.1145/3527546.3527570
Lin, S.-C., Yang, J.-H., & Lin, J. (2021). In-Batch Negatives for Knowledge Distillation With Tightly-Coupled Teachers for Dense Retrieval Presented at the In-Batch Negatives for Knowledge Distillation With Tightly-Coupled Teachers for Dense Retrieval conference. Retrieved from https://aclanthology.org/2021.repl4nlp-1.17
Gupta, P., Mhedhbi, A., & Salihoglu, S. (2021). Columnar Storage and List-Based Processing for Graph Database Management Systems Proceedings of the VLDB Endowment (PVLDB), 14, 2491-2504. Retrieved from http://www.vldb.org/pvldb/vol14/p2491-gupta.pdf
Brown, D. G., Byl, L., & Grossman, M. (2021). Are Machine Learning Corpora "Fair Dealing" Under Canadian Law? Presented at the Are Machine Learning Corpora "Fair Dealing" Under Canadian Law? conference. Retrieved from https://computationalcreativity.net/iccc21/wp-content/uploads/2021/09/ICCC_2021_paper_68.pdf
Li, M., Li, M., Xiong, K., & Lin, J. (2021). Multi-Task Dense Retrieval via Model Uncertainty Fusion for Open-Domain Question Answering Presented at the Multi-Task Dense Retrieval via Model Uncertainty Fusion for Open-Domain Question Answering conference. Retrieved from https://aclanthology.org/2021.findings-emnlp.26
Pradeep, R., Ma, X., Nogueira, R. F., & Lin, J. (2021). Scientific Claim Verification With VerT5erini Presented at the Scientific Claim Verification With VerT5erini conference. Retrieved from https://www.aclweb.org/anthology/2021.louhi-1.11/
Sheshbolouki, A., & Ozsu, T. (2021). Scale-Invariant Strength Assortativity of Streaming Butterflies ArXiv, abs/2111.12217. Retrieved from https://arxiv.org/abs/2111.12217
Lin, S.-C., Yang, J.-H., Nogueira, R., Tsai, M.-F., Wang, C.-J., & Lin, J. (2021). Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting ACM Transactions on Information Systems (TOIS), 39, 1-48. https://doi.org/10.1145/3446426