Amir Feder

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 40

Top Topics

Language Processing

Confidence Measures

Differentially Private

Top Venues

Publications

Almog Gueta, Amir Feder, Zorik Gekhman, Ariel Goldstein, Roi Reichart
Can LLMs Learn Macroeconomic Narratives from Social Media? CoRR (2024)
Yair Ori Gat, Nitay Calderon, Amir Feder, Alexander Chapanin, Amit Sharma, Roi Reichart
Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals. ICLR (2024)
Yuval Shalev, Amir Feder, Ariel Goldstein
Distributional reasoning in LLMs: Parallel reasoning processes in multi-hop reasoning. CoRR (2024)
Zorik Gekhman, Gal Yona, Roee Aharoni, Matan Eyal, Amir Feder, Roi Reichart, Jonathan Herzig
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? CoRR (2024)
Akshay Goel, Almog Gueta, Omry Gilon, Chang Liu, Sofia Erell, Lan Huong Nguyen, Xiaohong Hao, Bolous Jaber, Shashir Reddy, Rupesh Kartha, Jean Steiner, Itay Laish, Amir Feder
LLMs Accelerate Annotation for Medical Information Extraction. CoRR (2023)
Yair Ori Gat, Nitay Calderon, Amir Feder, Alexander Chapanin, Amit Sharma, Roi Reichart
Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals. CoRR (2023)
Carolina Zheng, Claudia Shi, Keyon Vafa, Amir Feder, David M. Blei
An Invariant Learning Characterization of Controlled Text Generation. CoRR (2023)
Amir Feder, Yoav Wald, Claudia Shi, Suchi Saria, David M. Blei
Causal-structure Driven Augmentations for Text OOD Generalization. NeurIPS (2023)
Carolina Zheng, Claudia Shi, Keyon Vafa, Amir Feder, David M. Blei
An Invariant Learning Characterization of Controlled Text Generation. ACL (1) (2023)
Nino Scherrer, Claudia Shi, Amir Feder, David M. Blei
Evaluating the Moral Beliefs Encoded in LLMs. NeurIPS (2023)
Amir Feder, Yoav Wald, Claudia Shi, Suchi Saria, David M. Blei
Causal-structure Driven Augmentations for Text OOD Generalization. CoRR (2023)
Ariel Goldstein, Eric Ham, Mariano Schain, Samuel A. Nastase, Zaid Zada, Avigail Dabush, Bobbi Aubrey, Harshvardhan Gazula, Amir Feder, Werner K. Doyle, Sasha Devore, Patricia Dugan, Daniel Friedman, Roi Reichart, Michael P. Brenner, Avinatan Hassidim, Orrin Devinsky, Adeen Flinker, Omer Levy, Uri Hasson
The Temporal Structure of Language Processing in the Human Brain Corresponds to The Layered Hierarchy of Deep Language Models. CoRR (2023)
Nino Scherrer, Claudia Shi, Amir Feder, David M. Blei
Evaluating the Moral Beliefs Encoded in LLMs. CoRR (2023)
Akshay Goel, Almog Gueta, Omry Gilon, Chang Liu, Sofia Erell, Lan Huong Nguyen, Xiaohong Hao, Bolous Jaber, Shashir Reddy, Rupesh Kartha, Jean Steiner, Itay Laish, Amir Feder
LLMs Accelerate Annotation for Medical Information Extraction. ML4H@NeurIPS (2023)
Gal Yona, Amir Feder, Itay Laish
Useful Confidence Measures: Beyond the Max Score. CoRR (2022)
Fan Zhang, Itay Laish, Ayelet Benjamini, Amir Feder
Section Classification in Clinical Notes with Multi-task Transformers. LOUHI@EMNLP (2022)
Nitay Calderon, Eyal Ben-David, Amir Feder, Roi Reichart
DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation. ACL (1) (2022)
Amir Feder, Itay Laish, Shashank Agarwal, Uri Lerner, Avel Atias, Cathy Cheung, Peter Clardy, Alon Peled-Cohen, Rachana Fellinger, Hengrui Liu, Lan Huong Nguyen, Birju Patel, Natan Potikha, Amir Taubenfeld, Liwen Xu, Seung Doo Yang, Ayelet Benjamini, Avinatan Hassidim
Building a Clinically-Focused Problem List From Medical Notes. LOUHI@EMNLP (2022)
Amir Feder, Katherine A. Keith, Emaad Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, Justin Grimmer, Roi Reichart, Margaret E. Roberts, Brandon M. Stewart, Victor Veitch, Diyi Yang
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. Trans. Assoc. Comput. Linguistics 10 (2022)
Eldar David Abraham, Karel D'Oosterlinck, Amir Feder, Yair Ori Gat, Atticus Geiger, Christopher Potts, Roi Reichart, Zhengxuan Wu
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior. NeurIPS (2022)
Amir Feder, Guy Horowitz, Yoav Wald, Roi Reichart, Nir Rosenfeld
In the Eye of the Beholder: Robust Prediction with Causal User Modeling. CoRR (2022)
Eldar David Abraham, Karel D'Oosterlinck, Amir Feder, Yair Ori Gat, Atticus Geiger, Christopher Potts, Roi Reichart, Zhengxuan Wu
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior. CoRR (2022)
Nitay Calderon, Eyal Ben-David, Amir Feder, Roi Reichart
DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation. CoRR (2022)
Yanai Elazar, Nora Kassner, Shauli Ravfogel, Amir Feder, Abhilasha Ravichander, Marius Mosbach, Yonatan Belinkov, Hinrich Schütze, Yoav Goldberg
Measuring Causal Effects of Data Statistics on Language Model's 'Factual' Predictions. CoRR (2022)
Amir Feder, Guy Horowitz, Yoav Wald, Roi Reichart, Nir Rosenfeld
In the Eye of the Beholder: Robust Prediction with Causal User Modeling. NeurIPS (2022)
Guy Rotman, Amir Feder, Roi Reichart
Model Compression for Domain Adaptation through Causal Effect Estimation. Trans. Assoc. Comput. Linguistics 9 (2021)
Amir Feder, Katherine A. Keith, Emaad Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, Justin Grimmer, Roi Reichart, Margaret E. Roberts, Brandon M. Stewart, Victor Veitch, Diyi Yang
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. CoRR (2021)
Yoav Wald, Amir Feder, Daniel Greenfeld, Uri Shalit
On Calibration and Out-of-domain Generalization. CoRR (2021)
Daniel Rosenberg, Itai Gat, Amir Feder, Roi Reichart
Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions. ACL/IJCNLP (2) (2021)
J. T. Hamrick, Farhang Rouhi, Arghya Mukherjee, Amir Feder, Neil Gandal, Tyler Moore, Marie Vasek
An examination of the cryptocurrency pump-and-dump ecosystem. Inf. Process. Manag. 58 (4) (2021)
Shlomo Hoory, Amir Feder, Avichai Tendler, Sofia Erell, Alon Peled-Cohen, Itay Laish, Hootan Nakhost, Uri Stemmer, Ayelet Benjamini, Avinatan Hassidim, Yossi Matias
Learning and Evaluating a Differentially Private Pre-trained Language Model. EMNLP (Findings) (2021)
Daniel Rosenberg, Itai Gat, Amir Feder, Roi Reichart
Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions. CoRR (2021)
Guy Rotman, Amir Feder, Roi Reichart
Model Compression for Domain Adaptation through Causal Effect Estimation. CoRR (2021)
Yoav Wald, Amir Feder, Daniel Greenfeld, Uri Shalit
On Calibration and Out-of-Domain Generalization. NeurIPS (2021)
Amir Feder, Nadav Oved, Uri Shalit, Roi Reichart
CausaLM: Causal Model Explanation Through Counterfactual Language Models. Comput. Linguistics 47 (2) (2021)
Amir Feder, Danny Vainstein, Roni Rosenfeld, Tzvika Hartman, Avinatan Hassidim, Yossi Matias
Active deep learning to detect demographic traits in free-form clinical notes. J. Biomed. Informatics 107 (2020)
Nadav Oved, Amir Feder, Roi Reichart
Predicting In-Game Actions from Interviews of NBA Players. Comput. Linguistics 46 (3) (2020)
Amir Feder, Nadav Oved, Uri Shalit, Roi Reichart
CausaLM: Causal Model Explanation Through Counterfactual Language Models. CoRR (2020)
Nadav Oved, Amir Feder, Roi Reichart
Predicting In-game Actions From the Language of NBA Players. CoRR (2019)
Amir Feder, Neil Gandal, J. T. Hamrick, Tyler Moore
The impact of DDoS and other security shocks on Bitcoin currency exchanges: evidence from Mt. Gox. J. Cybersecur. 3 (2) (2017)