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
References
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Lin, S.-C., Asai, A., Li, M., Oguz, B., Lin, J., Mehdad, Y., … Chen, X. (2023). How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval Presented at the How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval conference. Retrieved from https://aclanthology.org/2023.findings-emnlp.423
Lin, J., & Teofili, T. (2023). Searching Dense Representations With Inverted Indexes ArXiv, abs/2312.01556. https://doi.org/10.48550/ARXIV.2312.01556
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
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
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
Tamber, M. S., Pradeep, R., & Lin, J. (2023). Scaling Down, LiTting Up: Efficient Zero-Shot Listwise Reranking With Seq2seq Encoder-Decoder Models ArXiv, abs/2312.16098. https://doi.org/10.48550/ARXIV.2312.16098
Huang, C., Xie, Y., Jiang, Z., Lin, J., & Li, M. (2023). Approximating Human-Like Few-Shot Learning With GPT-based Compression ArXiv, abs/2308.06942. https://doi.org/10.48550/arXiv.2308.06942
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
Oladipo, A., Adeyemi, M., Ahia, O., Owodunni, A. T., Ogundepo, O., Adelani, D. I., & Lin, J. (2023). Better Quality Pre-Training Data and T5 Models for African Languages Presented at the Better Quality Pre-Training Data and T5 Models for African Languages conference. Retrieved from https://aclanthology.org/2023.emnlp-main.11