The impact of DDoS and other security shocks on Bitcoin currency exchanges: evidence from Mt. Gox. - Amir Feder; Neil Gandal; J. T. Hamrick; Tyler Moore 001 (J. Cybersecur., 2017)

Predicting In-game Actions From the Language of NBA Players. - Nadav Oved; Amir Feder; Roi Reichart (CoRR, 2019)

Predicting In-Game Actions from Interviews of NBA Players. - Nadav Oved; Amir Feder; Roi Reichart (Comput. Linguistics, 2020)

Active deep learning to detect demographic traits in free-form clinical notes. - Amir Feder; Danny Vainstein; Roni Rosenfeld; Tzvika Hartman; Avinatan Hassidim; Yossi Matias (J. Biomed. Informatics, 2020)

Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions. - Daniel Rosenberg; Itai Gat; Amir Feder; Roi Reichart (ACL/IJCNLP (2), 2021)

Learning and Evaluating a Differentially Private Pre-trained Language Model. - Shlomo Hoory; Amir Feder; Avichai Tendler; Sofia Erell; Alon Peled-Cohen; Itay Laish; Hootan Nakhost; Uri Stemmer; Ayelet Benjamini; Avinatan Hassidim; Yossi Matias (EMNLP (Findings), 2021)

On Calibration and Out-of-Domain Generalization. - Yoav Wald; Amir Feder; Daniel Greenfeld; Uri Shalit (NeurIPS, 2021)

CausaLM: Causal Model Explanation Through Counterfactual Language Models. - Amir Feder; Nadav Oved; Uri Shalit; Roi Reichart (Comput. Linguistics, 2021)

An examination of the cryptocurrency pump-and-dump ecosystem. - J. T. Hamrick; Farhang Rouhi; Arghya Mukherjee; Amir Feder; Neil Gandal; Tyler Moore 001; Marie Vasek (Inf. Process. Manag., 2021)

Model Compression for Domain Adaptation through Causal Effect Estimation. - Guy Rotman; Amir Feder; Roi Reichart (Trans. Assoc. Comput. Linguistics, 2021)

Building a Clinically-Focused Problem List From Medical Notes. - 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; et al. (LOUHI@EMNLP, 2022)

Section Classification in Clinical Notes with Multi-task Transformers. - Fan Zhang; Itay Laish; Ayelet Benjamini; Amir Feder (LOUHI@EMNLP, 2022)

DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation. - Nitay Calderon; Eyal Ben-David; Amir Feder; Roi Reichart (ACL (1), 2022)

CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior. - Eldar David Abraham; Karel D'Oosterlinck; Amir Feder; Yair Ori Gat; Atticus Geiger; Christopher Potts; Roi Reichart; Zhengxuan Wu (NeurIPS, 2022)

In the Eye of the Beholder: Robust Prediction with Causal User Modeling. - Amir Feder; Guy Horowitz; Yoav Wald; Roi Reichart; Nir Rosenfeld (NeurIPS, 2022)

Measuring Causal Effects of Data Statistics on Language Model's 'Factual' Predictions. - Yanai Elazar; Nora Kassner; Shauli Ravfogel; Amir Feder; Abhilasha Ravichander; Marius Mosbach; Yonatan Belinkov; Hinrich Schütze; Yoav Goldberg (CoRR, 2022)

Useful Confidence Measures: Beyond the Max Score. - Gal Yona; Amir Feder; Itay Laish (CoRR, 2022)

Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond. - 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; et al. (Trans. Assoc. Comput. Linguistics, 2022)

An Invariant Learning Characterization of Controlled Text Generation. - Carolina Zheng; Claudia Shi; Keyon Vafa; Amir Feder; David M. Blei (ACL (1), 2023)

LLMs Accelerate Annotation for Medical Information Extraction. - 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; et al. (ML4H@NeurIPS, 2023)

Causal-structure Driven Augmentations for Text OOD Generalization. - Amir Feder; Yoav Wald; Claudia Shi; Suchi Saria; David M. Blei (NeurIPS, 2023)

Evaluating the Moral Beliefs Encoded in LLMs. - Nino Scherrer; Claudia Shi; Amir Feder; David M. Blei (NeurIPS, 2023)

The Temporal Structure of Language Processing in the Human Brain Corresponds to The Layered Hierarchy of Deep Language Models. - 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; et al. (CoRR, 2023)

Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations? - Zorik Gekhman; Gal Yona; Roee Aharoni; Matan Eyal; Amir Feder; Roi Reichart; Jonathan Herzig (EMNLP, 2024)

Exploring the Learning Capabilities of Language Models using LEVERWORLDS. - Eitan Wagner; Amir Feder; Omri Abend (EMNLP, 2024)

Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals. - Yair Ori Gat; Nitay Calderon; Amir Feder; Alexander Chapanin; Amit Sharma; Roi Reichart (ICLR, 2024)

Distributional reasoning in LLMs: Parallel reasoning processes in multi-hop reasoning. - Yuval Shalev; Amir Feder; Ariel Goldstein (CoRR, 2024)

CoverBench: A Challenging Benchmark for Complex Claim Verification. - Alon Jacovi; Moran Ambar; Eyal Ben-David; Uri Shaham 002; Amir Feder; Mor Geva; Dror Marcus; Avi Caciularu (CoRR, 2024)

Multi-environment Topic Models. - Dominic Sobhani; Amir Feder; David M. Blei (CoRR, 2024)

Confidence Improves Self-Consistency in LLMs. - Amir Taubenfeld; Tom Sheffer; Eran Ofek; Amir Feder; Ariel Goldstein; Zorik Gekhman; Gal Yona (ACL (Findings), 2025)

Can LLMs Learn Macroeconomic Narratives from Social Media? - Almog Gueta; Amir Feder; Zorik Gekhman; Ariel Goldstein; Roi Reichart (NAACL (Findings), 2025)

Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders. - Carolina Zheng; Nicolas Beltran-Velez; Sweta Karlekar; Claudia Shi; Achille Nazaret; Asif Mallik; Amir Feder; David M. Blei (CoRR, 2025)