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Y. Elazar, A. Bhagia, I. Magnusson, A. Ravichander, D. Schwenk, A. Suhr, P. Walsh, D. Groeneveld, L. Soldaini, S. Singh, H. Hajishirzi, N. Smith, and J. Dodge. CoRR, (2023)

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Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance?A. Ravichander, Y. Belinkov, and E. Hovy. EACL, page 3363-3377. Association for Computational Linguistics, (2021)Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology-Based Representations.P. Michel, A. Ravichander, and S. Rijhwani. Rep4NLP@ACL, page 235-240. Association for Computational Linguistics, (2017)What's In My Big Data?Y. Elazar, A. Bhagia, I. Magnusson, A. Ravichander, D. Schwenk, A. Suhr, P. Walsh, D. Groeneveld, L. Soldaini, S. Singh and 3 other author(s). CoRR, (2023)MacGyver: Are Large Language Models Creative Problem Solvers?Y. Tian, A. Ravichander, L. Qin, R. Bras, R. Marjieh, N. Peng, Y. Choi, T. Griffiths, and F. Brahman. CoRR, (2023)Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning.X. Lu, F. Brahman, P. West, J. Jung, K. Chandu, A. Ravichander, P. Ammanabrolu, L. Jiang, S. Ramnath, N. Dziri and 7 other author(s). EMNLP, page 6863-6883. Association for Computational Linguistics, (2023)Exploring and Improving the Accessibility of Data Privacy-related Information for People Who Are Blind or Low-vision.Y. Feng, A. Ravichander, Y. Yao, S. Zhang, and N. Sadeh. CoRR, (2022)Understanding How to Inform Blind and Low-Vision Users about Data Privacy through Privacy Question Answering Assistants.Y. Feng, A. Ravichander, Y. Yao, S. Zhang, R. Chen, S. Wilson, and N. Sadeh. CoRR, (2023)On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT.A. Ravichander, E. Hovy, K. Suleman, A. Trischler, and J. Cheung. *SEM@COLING, page 88-102. Association for Computational Linguistics, (2020)Investigating the "Wisdom of Crowds" at Scale.A. Mysore, V. Yaligar, I. Ibarra, C. Simoiu, S. Goel, R. Arvind, C. Sumanth, A. Srikantan, B. HS, M. Pahadia and 50 other author(s). UIST (Adjunct Volume), page 75-76. ACM, (2015)Breaking Down Walls of Text: How Can NLP Benefit Consumer Privacy?A. Ravichander, A. Black, T. Norton, S. Wilson, and N. Sadeh. ACL/IJCNLP (1), page 4125-4140. Association for Computational Linguistics, (2021)

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