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Erratum: Measuring and Improving Consistency in Pretrained Language Models.

Y. Elazar, N. Kassner, S. Ravfogel, A. Ravichander, E. Hovy, H. Schütze, and Y. Goldberg. Trans. Assoc. Comput. Linguistics, (2021)

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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)CURIE: An Iterative Querying Approach for Reasoning About Situations.D. Rajagopal, A. Madaan, N. Tandon, Y. Yang, S. Prabhumoye, A. Ravichander, P. Clark, and E. Hovy. CoRR, (2021)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)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)EIGEN: Event Influence GENeration using Pre-trained Language Models.A. Madaan, D. Rajagopal, Y. Yang, A. Ravichander, E. Hovy, and S. Prabhumoye. CoRR, (2020)Erratum: Measuring and Improving Consistency in Pretrained Language Models.Y. Elazar, N. Kassner, S. Ravfogel, A. Ravichander, E. Hovy, H. Schütze, and Y. Goldberg. Trans. Assoc. Comput. Linguistics, (2021)OLMo: Accelerating the Science of Language Models.D. Groeneveld, I. Beltagy, P. Walsh, A. Bhagia, R. Kinney, O. Tafjord, A. Jha, H. Ivison, I. Magnusson, Y. Wang and 33 other author(s). CoRR, (2024)CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation.A. Ravichander, M. Gardner, and A. Marasovic. EMNLP, page 8729-8755. Association for Computational Linguistics, (2022)

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Erratum: Measuring and Improving Consistency in Pretrained Language Models.

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Disambiguation of "Ravichander, Abhilasha"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Erratum: Measuring and Improving Consistency in Pretrained Language Models.

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Erratum: Measuring and Improving Consistency in Pretrained Language Models.