Amir Feder - RankMe

54 papers A* 8Journal 36Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Causal Effect Estimation with Latent Textual Treatments. CoRR Omri Feldman, Amar Venugopal, Jann Spiess, Amir Feder
2026	J	`jnl`	Discrete Diffusion Models Exploit Asymmetry to Solve Lookahead Planning Tasks. CoRR Itamar Trainin, Shauli Ravfogel, Omri Abend, Amir Feder
2026	J	`jnl`	Evaluating Alignment of Behavioral Dispositions in LLMs. CoRR Amir Taubenfeld, Zorik Gekhman, Lior Nezry, Omri Feldman, Natalie Harris, Shashir Reddy, Romina Stella, Ariel Goldstein, Marian Croak, Yossi Matias, Amir Feder
2026	J	`jnl`	STATe-of-Thoughts: Structured Action Templates for Tree-of-Thoughts. CoRR Zachary Bamberger, Till Saenger, Gilad Morad, Ofra Amir, Brandon M. Stewart, Amir Feder
2025	—	`conf`	Can LLMs Learn Macroeconomic Narratives from Social Media? NAACL (Findings) Almog Gueta, Amir Feder, Zorik Gekhman, Ariel Goldstein, Roi Reichart
2025	—	`conf`	Confidence Improves Self-Consistency in LLMs. ACL (Findings) Amir Taubenfeld, Tom Sheffer, Eran Ofek, Amir Feder, Ariel Goldstein, Zorik Gekhman, Gal Yona
2025	J	`jnl`	Confidence Improves Self-Consistency in LLMs. CoRR Amir Taubenfeld, Tom Sheffer, Eran Ofek, Amir Feder, Ariel Goldstein, Zorik Gekhman, Gal Yona
2025	J	`jnl`	Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders. CoRR Carolina Zheng, Nicolas Beltran-Velez, Sweta Karlekar, Claudia Shi, Achille Nazaret, Asif Mallik, Amir Feder, David M. Blei
2024	J	`jnl`	Can LLMs Learn Macroeconomic Narratives from Social Media? CoRR Almog Gueta, Amir Feder, Zorik Gekhman, Ariel Goldstein, Roi Reichart
2024	J	`jnl`	CoverBench: A Challenging Benchmark for Complex Claim Verification. CoRR Alon Jacovi, Moran Ambar, Eyal Ben-David, Uri Shaham, Amir Feder, Mor Geva, Dror Marcus, Avi Caciularu
2024	J	`jnl`	Distributional reasoning in LLMs: Parallel reasoning processes in multi-hop reasoning. CoRR Yuval Shalev, Amir Feder, Ariel Goldstein
2024	A*	`conf`	Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? EMNLP Zorik Gekhman, Gal Yona, Roee Aharoni, Matan Eyal, Amir Feder, Roi Reichart, Jonathan Herzig
2024	J	`jnl`	Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? CoRR Zorik Gekhman, Gal Yona, Roee Aharoni, Matan Eyal, Amir Feder, Roi Reichart, Jonathan Herzig
2024	A*	`conf`	Exploring the Learning Capabilities of Language Models using LEVERWORLDS. EMNLP Eitan Wagner, Amir Feder, Omri Abend
2024	J	`jnl`	Exploring the Learning Capabilities of Language Models using LEVERWORLDS. CoRR Eitan Wagner, Amir Feder, Omri Abend
2024	A*	`conf`	Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals. ICLR Yair Ori Gat, Nitay Calderon, Amir Feder, Alexander Chapanin, Amit Sharma, Roi Reichart
2024	J	`jnl`	Multi-environment Topic Models. CoRR Dominic Sobhani, Amir Feder, David M. Blei
2023	—	`conf`	An Invariant Learning Characterization of Controlled Text Generation. ACL (1) Carolina Zheng, Claudia Shi, Keyon Vafa, Amir Feder, David M. Blei
2023	J	`jnl`	An Invariant Learning Characterization of Controlled Text Generation. CoRR Carolina Zheng, Claudia Shi, Keyon Vafa, Amir Feder, David M. Blei
2023	A*	`conf`	Causal-structure Driven Augmentations for Text OOD Generalization. NeurIPS Amir Feder, Yoav Wald, Claudia Shi, Suchi Saria, David M. Blei
2023	J	`jnl`	Causal-structure Driven Augmentations for Text OOD Generalization. CoRR Amir Feder, Yoav Wald, Claudia Shi, Suchi Saria, David M. Blei
2023	A*	`conf`	Evaluating the Moral Beliefs Encoded in LLMs. NeurIPS Nino Scherrer, Claudia Shi, Amir Feder, David M. Blei
2023	J	`jnl`	Evaluating the Moral Beliefs Encoded in LLMs. CoRR Nino Scherrer, Claudia Shi, Amir Feder, David M. Blei
2023	J	`jnl`	Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals. CoRR Yair Ori Gat, Nitay Calderon, Amir Feder, Alexander Chapanin, Amit Sharma, Roi Reichart
2023	—	`conf`	LLMs Accelerate Annotation for Medical Information Extraction. ML4H@NeurIPS 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
2023	J	`jnl`	LLMs Accelerate Annotation for Medical Information Extraction. CoRR 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
2023	J	`jnl`	The Temporal Structure of Language Processing in the Human Brain Corresponds to The Layered Hierarchy of Deep Language Models. CoRR 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
2022	—	`conf`	Building a Clinically-Focused Problem List From Medical Notes. LOUHI@EMNLP 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
2022	A*	`conf`	CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior. NeurIPS Eldar David Abraham, Karel D'Oosterlinck, Amir Feder, Yair Ori Gat, Atticus Geiger, Christopher Potts, Roi Reichart, Zhengxuan Wu
2022	J	`jnl`	CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior. CoRR Eldar David Abraham, Karel D'Oosterlinck, Amir Feder, Yair Ori Gat, Atticus Geiger, Christopher Potts, Roi Reichart, Zhengxuan Wu
2022	J	`jnl`	Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. Trans. Assoc. Comput. Linguistics 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
2022	—	`conf`	CausalNLP Tutorial: An Introduction to Causality for Natural Language Processing. EMNLP (Tutorial Abstracts) Zhijing Jin, Amir Feder, Kun Zhang
2022	—	`conf`	DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation. ACL (1) Nitay Calderon, Eyal Ben-David, Amir Feder, Roi Reichart
2022	J	`jnl`	DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation. CoRR Nitay Calderon, Eyal Ben-David, Amir Feder, Roi Reichart
2022	A*	`conf`	In the Eye of the Beholder: Robust Prediction with Causal User Modeling. NeurIPS Amir Feder, Guy Horowitz, Yoav Wald, Roi Reichart, Nir Rosenfeld
2022	J	`jnl`	In the Eye of the Beholder: Robust Prediction with Causal User Modeling. CoRR Amir Feder, Guy Horowitz, Yoav Wald, Roi Reichart, Nir Rosenfeld
2022	J	`jnl`	Measuring Causal Effects of Data Statistics on Language Model's 'Factual' Predictions. CoRR Yanai Elazar, Nora Kassner, Shauli Ravfogel, Amir Feder, Abhilasha Ravichander, Marius Mosbach, Yonatan Belinkov, Hinrich Schütze, Yoav Goldberg
2022	—	`conf`	Section Classification in Clinical Notes with Multi-task Transformers. LOUHI@EMNLP Fan Zhang, Itay Laish, Ayelet Benjamini, Amir Feder
2022	J	`jnl`	Useful Confidence Measures: Beyond the Max Score. CoRR Gal Yona, Amir Feder, Itay Laish
2021	J	`jnl`	An examination of the cryptocurrency pump-and-dump ecosystem. Inf. Process. Manag. J. T. Hamrick, Farhang Rouhi, Arghya Mukherjee, Amir Feder, Neil Gandal, Tyler Moore, Marie Vasek
2021	—	`conf`	Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions. ACL/IJCNLP (2) Daniel Rosenberg, Itai Gat, Amir Feder, Roi Reichart
2021	J	`jnl`	Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions. CoRR Daniel Rosenberg, Itai Gat, Amir Feder, Roi Reichart
2021	J	`jnl`	CausaLM: Causal Model Explanation Through Counterfactual Language Models. Comput. Linguistics Amir Feder, Nadav Oved, Uri Shalit, Roi Reichart
2021	J	`jnl`	Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. CoRR 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
2021	—	`conf`	Learning and Evaluating a Differentially Private Pre-trained Language Model. EMNLP (Findings) Shlomo Hoory, Amir Feder, Avichai Tendler, Sofia Erell, Alon Peled-Cohen, Itay Laish, Hootan Nakhost, Uri Stemmer, Ayelet Benjamini, Avinatan Hassidim, Yossi Matias
2021	J	`jnl`	Model Compression for Domain Adaptation through Causal Effect Estimation. CoRR Guy Rotman, Amir Feder, Roi Reichart
2021	J	`jnl`	Model Compression for Domain Adaptation through Causal Effect Estimation. Trans. Assoc. Comput. Linguistics Guy Rotman, Amir Feder, Roi Reichart
2021	A*	`conf`	On Calibration and Out-of-Domain Generalization. NeurIPS Yoav Wald, Amir Feder, Daniel Greenfeld, Uri Shalit
2021	J	`jnl`	On Calibration and Out-of-domain Generalization. CoRR Yoav Wald, Amir Feder, Daniel Greenfeld, Uri Shalit
2020	J	`jnl`	Active deep learning to detect demographic traits in free-form clinical notes. J. Biomed. Informatics Amir Feder, Danny Vainstein, Roni Rosenfeld, Tzvika Hartman, Avinatan Hassidim, Yossi Matias
2020	J	`jnl`	CausaLM: Causal Model Explanation Through Counterfactual Language Models. CoRR Amir Feder, Nadav Oved, Uri Shalit, Roi Reichart
2020	J	`jnl`	Predicting In-Game Actions from Interviews of NBA Players. Comput. Linguistics Nadav Oved, Amir Feder, Roi Reichart
2019	J	`jnl`	Predicting In-game Actions From the Language of NBA Players. CoRR Nadav Oved, Amir Feder, Roi Reichart
2017	J	`jnl`	The impact of DDoS and other security shocks on Bitcoin currency exchanges: evidence from Mt. Gox. J. Cybersecur. Amir Feder, Neil Gandal, J. T. Hamrick, Tyler Moore