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ORCIDAmir Feder
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2020 – today
- 2024
[c15]Zorik Gekhman, Gal Yona, Roee Aharoni, Matan Eyal, Amir Feder, Roi Reichart, Jonathan Herzig:
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? EMNLP 2024: 7765-7784- [c14]Eitan Wagner, Amir Feder, Omri Abend:
Exploring the Learning Capabilities of Language Models using LEVERWORLDS. EMNLP 2024: 15458-15468 - [c13]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 - [i22]Zorik Gekhman, Gal Yona, Roee Aharoni, Matan Eyal, Amir Feder, Roi Reichart, Jonathan Herzig:
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? CoRR abs/2405.05904 (2024) - [i21]Almog Gueta, Amir Feder, Zorik Gekhman, Ariel Goldstein, Roi Reichart:
Can LLMs Learn Macroeconomic Narratives from Social Media? CoRR abs/2406.12109 (2024) - [i20]Yuval Shalev, Amir Feder, Ariel Goldstein:
Distributional reasoning in LLMs: Parallel reasoning processes in multi-hop reasoning. CoRR abs/2406.13858 (2024) - [i19]Alon Jacovi, Moran Ambar, Eyal Ben-David, Uri Shaham, Amir Feder, Mor Geva, Dror Marcus, Avi Caciularu:
CoverBench: A Challenging Benchmark for Complex Claim Verification. CoRR abs/2408.03325 (2024) - [i18]Eitan Wagner, Amir Feder, Omri Abend:
Exploring the Learning Capabilities of Language Models using LEVERWORLDS. CoRR abs/2410.00519 (2024) - 2023
- [c12]Carolina Zheng, Claudia Shi, Keyon Vafa, Amir Feder, David M. Blei:
An Invariant Learning Characterization of Controlled Text Generation. ACL (1) 2023: 3186-3206 - [c11]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: 82-100 - [c10]Amir Feder, Yoav Wald, Claudia Shi, Suchi Saria, David M. Blei:
Causal-structure Driven Augmentations for Text OOD Generalization. NeurIPS 2023 - [c9]Nino Scherrer, Claudia Shi, Amir Feder, David M. Blei:
Evaluating the Moral Beliefs Encoded in LLMs. NeurIPS 2023 - [i17]Carolina Zheng, Claudia Shi, Keyon Vafa, Amir Feder, David M. Blei:
An Invariant Learning Characterization of Controlled Text Generation. CoRR abs/2306.00198 (2023) - [i16]Nino Scherrer, Claudia Shi, Amir Feder, David M. Blei:
Evaluating the Moral Beliefs Encoded in LLMs. CoRR abs/2307.14324 (2023) - [i15]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 abs/2310.00603 (2023) - [i14]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 abs/2310.07106 (2023) - [i13]Amir Feder, Yoav Wald, Claudia Shi, Suchi Saria, David M. Blei:
Causal-structure Driven Augmentations for Text OOD Generalization. CoRR abs/2310.12803 (2023) - [i12]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 abs/2312.02296 (2023) - 2022
- [j7]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: 1138-1158 (2022) - [c8]Nitay Calderon, Eyal Ben-David, Amir Feder, Roi Reichart:
DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation. ACL (1) 2022: 7727-7746 - [c7]Fan Zhang, Itay Laish, Ayelet Benjamini, Amir Feder:
Section Classification in Clinical Notes with Multi-task Transformers. LOUHI@EMNLP 2022: 54-59 - [c6]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: 60-68 - [c5]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 - [c4]Amir Feder, Guy Horowitz, Yoav Wald, Roi Reichart, Nir Rosenfeld:
In the Eye of the Beholder: Robust Prediction with Causal User Modeling. NeurIPS 2022 - [i11]Nitay Calderon, Eyal Ben-David, Amir Feder, Roi Reichart:
DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation. CoRR abs/2202.12350 (2022) - [i10]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 abs/2205.14140 (2022) - [i9]Amir Feder, Guy Horowitz, Yoav Wald, Roi Reichart, Nir Rosenfeld:
In the Eye of the Beholder: Robust Prediction with Causal User Modeling. CoRR abs/2206.00416 (2022) - [i8]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 abs/2207.14251 (2022) - [i7]Gal Yona, Amir Feder, Itay Laish:
Useful Confidence Measures: Beyond the Max Score. CoRR abs/2210.14070 (2022) - 2021
- [j6]Amir Feder, Nadav Oved, Uri Shalit, Roi Reichart:
CausaLM: Causal Model Explanation Through Counterfactual Language Models. Comput. Linguistics 47(2): 333-386 (2021) - [j5]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): 102506 (2021) - [j4]Guy Rotman, Amir Feder, Roi Reichart:
Model Compression for Domain Adaptation through Causal Effect Estimation. Trans. Assoc. Comput. Linguistics 9: 1355-1373 (2021) - [c3]Daniel Rosenberg, Itai Gat, Amir Feder, Roi Reichart:
Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions. ACL/IJCNLP (2) 2021: 61-70 - [c2]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: 1178-1189 - [c1]Yoav Wald, Amir Feder, Daniel Greenfeld, Uri Shalit:
On Calibration and Out-of-Domain Generalization. NeurIPS 2021: 2215-2227 - [i6]Guy Rotman, Amir Feder, Roi Reichart:
Model Compression for Domain Adaptation through Causal Effect Estimation. CoRR abs/2101.07086 (2021) - [i5]Yoav Wald, Amir Feder, Daniel Greenfeld, Uri Shalit:
On Calibration and Out-of-domain Generalization. CoRR abs/2102.10395 (2021) - [i4]Daniel Rosenberg, Itai Gat, Amir Feder, Roi Reichart:
Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions. CoRR abs/2106.04484 (2021) - [i3]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 abs/2109.00725 (2021) - 2020
- [j3]Nadav Oved, Amir Feder, Roi Reichart:
Predicting In-Game Actions from Interviews of NBA Players. Comput. Linguistics 46(3): 667-712 (2020) - [j2]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: 103436 (2020) - [i2]Amir Feder, Nadav Oved, Uri Shalit, Roi Reichart:
CausaLM: Causal Model Explanation Through Counterfactual Language Models. CoRR abs/2005.13407 (2020)
2010 – 2019
- 2019
- [i1]Nadav Oved, Amir Feder, Roi Reichart:
Predicting In-game Actions From the Language of NBA Players. CoRR abs/1910.11292 (2019) - 2017
- [j1]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): 137-144 (2017)
Coauthor Index
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last updated on 2024-11-14 22:03 CET by the dblp team
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