Li, H. ., Zhuang, S. ., Ma, X. ., Lin, J. ., & Zuccon, G. . (2022). Pseudo-Relevance Feedback With Dense Retrievers in Pyserini. Pseudo-Relevance Feedback With Dense Retrievers in Pyserini Primary Tabs View. Presented at the. https://doi.org/10.1145/3572960.3572982
Publications
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Tang, R. ., Kumar, K. ., Xin, J. ., Vyas, P. ., Li, W. ., Yang, G. ., Mao, Y. ., Murray, C. ., & Lin, J. . (2022). Temporal Early Exiting for Streaming Speech Commands Recognition. Temporal Early Exiting for Streaming Speech Commands Recognition. Presented at the. https://doi.org/10.1109/ICASSP43922.2022.9746863
Zhang, X. ., Ogueji, K. ., Ma, X. ., & Lin, J. . (2022). Towards Best Practices for Training Multilingual Dense Retrieval Models. ArXiv, abs/2204.02363. https://doi.org/10.48550/arXiv.2204.02363
Shi, P. ., Song, L. ., Jin, L. ., Mi, H. ., Bai, H. ., Lin, J. ., & Yu, D. . (2022). Cross-Lingual Text-to-SQL Semantic Parsing With Representation Mixup. Cross-Lingual Text-to-SQL Semantic Parsing With Representation Mixup. Presented at the. Retrieved from https://aclanthology.org/2022.findings-emnlp.388
Pappachan, P. ., Zhang, S. ., He, X. ., & Mehrotra, S. . (2022). Don\textquoterightt Be a Tattle-Tale: Preventing Leakages Through Data Dependencies On Access Control Protected Data. ArXiv, abs/2207.08757. https://doi.org/10.48550/arXiv.2207.08757
Yang, M. Y. R., Yang, S. ., & Lin, J. . (2022). Integration of Text and Geospatial Search for Hydrographic Datasets Using the Lucene Search Library. Integration of Text and Geospatial Search for Hydrographic Datasets Using the Lucene Search Library. Presented at the. https://doi.org/10.1145/3529372.3533280
Voorhees, E. M., Soboroff, I. ., & Lin, J. . (2022). Can Old TREC Collections Reliably Evaluate Modern Neural Retrieval Models?. ArXiv, abs/2201.11086. Retrieved from https://arxiv.org/abs/2201.11086
Zhong, W. ., Xie, Y. ., & Lin, J. . (2022). Applying Structural and Dense Semantic Matching for the ARQMath Lab 2022, Clef. Applying Structural and Dense Semantic Matching for the ARQMath Lab 2022, Clef. Presented at the. Retrieved from http://ceur-ws.org/Vol-3180/paper-09.pdf
Lin, J. . (2022). Building a Culture of Reproducibility in Academic Research. ArXiv, abs/2212.13534. https://doi.org/10.48550/arXiv.2212.13534
Ma, X. ., Pradeep, R. ., Nogueira, R. ., & Lin, J. . (2022). Document Expansion Baselines and Learned Sparse Lexical Representations For MS MARCO V1 and V2. Document Expansion Baselines and Learned Sparse Lexical Representations For MS MARCO V1 and V2. Presented at the. https://doi.org/10.1145/3477495.3531749