Publications

Divyansh Singhvi, Andrej Erkelens, Raghav Jain, Diganta Misra, Naomi Saphra (2023). Shapley Interactions for Complex Feature Attribution. NeurIPS Workshop on Attribution at Scale.
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Jeevesh Juneja, Rachit Bansal, Kyunghyun Cho, João Sedoc, Naomi Saphra (2023). Linear Connectivity Reveals Generalization Strategies. International Conference on Learning Representations (ICLR).
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Naomi Saphra (2023). Interpretability Creationism. The Gradient.
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Michael Hu, Angelica Chen, Naomi Saphra, Kyunghyun Cho (2023). Delays, Detours, and Forks in the Road: Latent State Models of Training Dynamics. Transactions of Machine Learning Research (TMLR).
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Thibault Sellam, Steve Yadlowsky, Ian Tenney, Jason Wei, Naomi Saphra, Alexander D'Amour, Tal Linzen, Jasmijn Bastings, Iulia Raluca Turc, Jacob Eisenstein, Dipanjan Das, Ellie Pavlick (2022). The MultiBERTs: BERT Reproductions for Robustness Analysis. International Conference on Learning Representations (ICLR).
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Bingchen Zhao, Yuling Gu, Jessica Zosa Forde, Naomi Saphra (2022). One Venue, Two Conferences: The Separation of Chinese and American Citation Networks. NeurIPS Workshop on Cultures of AI and AI for Culture.
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Josef Valvoda, Naomi Saphra, Jonathan Rawski, Ryan Cotterell, Adina Williams (2022). Learning Transductions to Test Systematic Compositionality. International Conference on Computational Linguistics (COLING).
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Jennifer C. White, Tiago Pimentel, Naomi Saphra, Adina Williams, Ryan Cotterell (2021). A Non-Linear Structural Probe. North American Association for Computational Linguistics (NAACL).
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Mohammad Tahaei, Kami Vaniea, Naomi Saphra (2020). Understanding Privacy-Related Questions on Stack Overflow. Conference on Human Factors in Computing Systems (CHI).
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Tiago Pimentel, Naomi Saphra, Adina Williams, Ryan Cotterell (2020). Pareto Probing: Trading Off Accuracy for Complexity. Empirical Methods in Natural Language Processing (EMNLP).
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