Esmaeilzadeh, A., Golab, L., & Taghva, K. (2023). InfoMoD: Information-Theoretic Model Diagnostics Presented at the Paper InfoMoD: Information-Theoretic Model Diagnostics conference. https://doi.org/10.1145/3603719.3603725
References
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2023
Lin, J., & Teofili, T. (2023). Searching Dense Representations With Inverted Indexes ArXiv, abs/2312.01556. https://doi.org/10.48550/ARXIV.2312.01556
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Buchanan, G. R., McKay, D., & Clarke, C. (2023). Made to Measure: A Workshop on Human-Centred Metrics for Information Seeking Presented at the Made to Measure: A Workshop on Human-Centred Metrics for Information Seeking conference. https://doi.org/10.1145/3576840.3578301
Qian, K., Belyi, A., Wu, F., Khorshidi, S., Nikfarjam, A., Khot, R., … Li, Y. (2023). Open Domain Knowledge Extraction for Knowledge Graphs ArXiv, abs/2312.09424. https://doi.org/10.48550/ARXIV.2312.09424
Dadvar, V., Golab, L., & Srivastava, D. (2023). POEM: Pattern-Oriented Explanations of Convolutional Neural Networks Proceedings of the VLDB Endowment (PVLDB), 16, 3192-3200. https://doi.org/10.14778/3611479.3611518
Rorseth, J., Godfrey, P., Golab, L., Kargar, M., Srivastava, D., & Szlichta, J. (2023). CREDENCE: Counterfactual Explanations for Document Ranking ArXiv, abs/2302.04983. https://doi.org/10.48550/arXiv.2302.04983
Pradeep, R., Chen, H., Gu, L., Tamber, M. S., & Lin, J. (2023). PyGaggle: A Gaggle of Resources for Open-Domain Question Answering Presented at the PyGaggle: A Gaggle of Resources for Open-Domain Question Answering conference. https://doi.org/10.1007/978-3-031-28241-6_10
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