Gao, L., Ma, X., Lin, J., & Callan, J. (2022). Precise Zero-Shot Dense Retrieval Without Relevance Labels ArXiv, abs/2212.10496. https://doi.org/10.48550/arXiv.2212.10496
References
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Tang, R., Pandey, A., Jiang, Z., Yang, G., Kumar, K., Lin, J., & Türe, F. (2022). What the DAAM: Interpreting Stable Diffusion Using Cross Attention ArXiv, abs/2210.04885. https://doi.org/10.48550/arXiv.2210.04885
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Trotman, A., Mackenzie, J., Parameswaran, P., & Lin, J. (2022). A Common Framework for Exploring Document-at-a-Time and Score-at-a-Time Retrieval Methods Presented at the A Common Framework for Exploring Document-at-a-Time and Score-at-a-Time Retrieval Methods conference. https://doi.org/10.1145/3477495.3531657
Shehata, D., Arabzadeh, N., & Clarke, C. (2022). Early Stage Sparse Retrieval With Entity Linking ArXiv, abs/2208.04887. https://doi.org/10.48550/arXiv.2208.04887
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Kamphuis, C., Hasibi, F., Lin, J., & de Vries, A. P. (2022). REBL: Entity Linking at Scale (Prototype) Presented at the REBL: Entity Linking at Scale conference. Retrieved from https://ceur-ws.org/Vol-3480/paper-08.pdf
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
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