Lin, J. (2022). Building a Culture of Reproducibility in Academic Research ArXiv, abs/2212.13534. https://doi.org/10.48550/arXiv.2212.13534
References
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Ogundepo, O., Zhang, X., & Lin, J. (2022). Better Than Whitespace: Information Retrieval for Languages Without Custom Tokenizers ArXiv, abs/2210.05481. https://doi.org/10.48550/arXiv.2210.05481
Parsa, M. S., Shi, H., Xu, Y., Yim, A., Yin, Y., & Golab, L. (2022). Analyzing Climate Change Discussions on Reddit Presented at the Climate Change Discussions on Reddit conference. https://doi.org/10.1109/CSCI58124.2022.00150
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 Presented at the To Interpolate or Not to Interpolate: PRF, Dense and Sparse Retrievers conference. https://doi.org/10.1145/3477495.3531884
Arabzadeh, N., Seifikar, M., & Clarke, C. (2022). Unsupervised Question Clarity Prediction Through Retrieved Item Coherency ArXiv, abs/2208.04882. https://doi.org/10.48550/arXiv.2208.04882
Yan, X., Luo, C., Clarke, C., Craswell, N., Voorhees, E. M., & Castells, P. (2022). Human Preferences as Dueling Bandits Presented at the Human Preferences As Dueling Bandits conference. https://doi.org/10.1145/3477495.3531991
Dadvar, V., Golab, L., & Srivastava, D. (2022). Exploring Data Using Patterns: A Survey Information Systems, 108, 101985. https://doi.org/10.1016/j.is.2022.101985
Ilyas, I., Rekatsinas, T., Konda, V., Pound, J., Qi, X., & Soliman, M. A. (2022). Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale Presented at the Saga: A Platform for Continuous Construction and Serving of Knowledge At Scale conference. https://doi.org/10.1145/3514221.3526049
Tang, R., Kumar, K., Xin, J., Vyas, P., Li, W., Yang, G., … Lin, J. (2022). Temporal Early Exiting for Streaming Speech Commands Recognition Presented at the Temporal Early Exiting for Streaming Speech Commands Recognition conference. https://doi.org/10.1109/ICASSP43922.2022.9746863
Tang, R., Kumar, K., Yang, G., Pandey, A., Mao, Y., Belyaev, V., … Lin, J. (2022). SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale Presented at the SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale conference. Retrieved from https://aclanthology.org/2022.emnlp-industry.29