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CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior.

E. Abraham, K. D'Oosterlinck, A. Feder, Y. Gat, A. Geiger, C. Potts, R. Reichart, and Z. Wu. NeurIPS, (2022)

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Manfred Feder

Richard Feder

Egbert Feder

Georg Feder

Thomas Feder

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Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond.A. Feder, K. Keith, E. Manzoor, R. Pryzant, D. Sridhar, Z. Wood-Doughty, J. Eisenstein, J. Grimmer, R. Reichart, M. Roberts and 3 other author(s). CoRR, (2021)LLMs Accelerate Annotation for Medical Information Extraction.A. Goel, A. Gueta, O. Gilon, C. Liu, S. Erell, L. Nguyen, X. Hao, B. Jaber, S. Reddy, R. Kartha and 3 other author(s). ML4H@NeurIPS, volume 225 of Proceedings of Machine Learning Research, page 82-100. PMLR, (2023)DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation.N. Calderon, E. Ben-David, A. Feder, and R. Reichart. ACL (1), page 7727-7746. Association for Computational Linguistics, (2022)Distributional reasoning in LLMs: Parallel reasoning processes in multi-hop reasoning.Y. Shalev, A. Feder, and A. Goldstein. CoRR, (2024)Building a Clinically-Focused Problem List From Medical Notes.A. Feder, I. Laish, S. Agarwal, U. Lerner, A. Atias, C. Cheung, P. Clardy, A. Peled-Cohen, R. Fellinger, H. Liu and 8 other author(s). LOUHI@EMNLP, page 60-68. Association for Computational Linguistics, (2022)Section Classification in Clinical Notes with Multi-task Transformers.F. Zhang, I. Laish, A. Benjamini, and A. Feder. LOUHI@EMNLP, page 54-59. Association for Computational Linguistics, (2022)CausaLM: Causal Model Explanation Through Counterfactual Language Models.A. Feder, N. Oved, U. Shalit, and R. Reichart. Comput. Linguistics, 47 (2): 333-386 (2021)On Calibration and Out-of-Domain Generalization.Y. Wald, A. Feder, D. Greenfeld, and U. Shalit. NeurIPS, page 2215-2227. (2021)Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions.D. Rosenberg, I. Gat, A. Feder, and R. Reichart. ACL/IJCNLP (2), page 61-70. Association for Computational Linguistics, (2021)Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond.A. Feder, K. Keith, E. Manzoor, R. Pryzant, D. Sridhar, Z. Wood-Doughty, J. Eisenstein, J. Grimmer, R. Reichart, M. Roberts and 3 other author(s). Trans. Assoc. Comput. Linguistics, (2022)

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Disambiguation of "Feder, Amir"

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CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior.

Please choose a person to relate this publication to

Manfred Feder

Richard Feder

Egbert Feder

Georg Feder

Thomas Feder

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Feder, Amir"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior.

Please choose a person to relate this publication to

Manfred Feder

Richard Feder

Egbert Feder

Georg Feder

Thomas Feder

Other publications of authors with the same name

Disambiguation

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URL
DOI
BibTeX
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APA
Chicago
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CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior.