Amir Feder

Identifiers

• name variant Amir Feder 0.60 · backfill

Papers (20)

1. Model Directions, Not Words: Mechanistic Topic Models Using Sparse Autoencoders cs.CL · 2025 · author #7
2. Distributional reasoning in LLMs: Parallel reasoning processes in multi-hop reasoning cs.CL · 2024 · author #2
3. LLMs Accelerate Annotation for Medical Information Extraction cs.CL · 2023 · author #13
4. Data Augmentations for Improved (Large) Language Model Generalization cs.LG · 2023 · author #1
5. The Temporal Structure of Language Processing in the Human Brain Corresponds to The Layered Hierarchy of Deep Language Models cs.CL · 2023 · author #9
6. Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals cs.CL · 2023 · author #3
7. Evaluating the Moral Beliefs Encoded in LLMs cs.CL · 2023 · author #3
8. An Invariant Learning Characterization of Controlled Text Generation cs.CL · 2023 · author #4
9. Useful Confidence Measures: Beyond the Max Score cs.LG · 2022 · author #2
10. Measuring Causal Effects of Data Statistics on Language Model's `Factual' Predictions cs.CL · 2022 · author #4
11. In the Eye of the Beholder: Robust Prediction with Causal User Modeling cs.LG · 2022 · author #1
12. CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior cs.CL · 2022 · author #3
13. DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation cs.CL · 2022 · author #3
14. Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond cs.CL · 2021 · author #1
15. Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions cs.CV · 2021 · author #3
16. On Calibration and Out-of-domain Generalization cs.LG · 2021 · author #2
17. Model Compression for Domain Adaptation through Causal Effect Estimation cs.CL · 2021 · author #2
18. CausaLM: Causal Model Explanation Through Counterfactual Language Models cs.CL · 2020 · author #1
19. Predicting In-game Actions from Interviews of NBA Players cs.CL · 2019 · author #2
20. Explaining Classifiers with Causal Concept Effect (CaCE) cs.LG · 2019 · author #2

Mentions

• 2406.13858 #2 · arxiv_oai · confidence 0.70 Amir Feder
• 2310.12803 #1 · arxiv_oai · confidence 0.70 Amir Feder
• 2312.02296 #13 · arxiv_oai · confidence 0.70 Amir Feder
• 2310.00603 #3 · arxiv_oai · confidence 0.70 Amir Feder
• 2310.07106 #9 · arxiv_oai · confidence 0.70 Amir Feder
• 2307.14324 #3 · arxiv_oai · confidence 0.70 Amir Feder
• 2306.00198 #4 · arxiv_oai · confidence 0.70 Amir Feder
• 2207.14251 #4 · arxiv_oai · confidence 0.70 Amir Feder
• 2005.13407 #1 · arxiv_oai · confidence 0.70 Amir Feder
• 2210.14070 #2 · arxiv_oai · confidence 0.70 Amir Feder
• 2205.14140 #3 · arxiv_oai · confidence 0.70 Amir Feder
• 2206.00416 #1 · arxiv_oai · confidence 0.70 Amir Feder
• 2109.00725 #1 · arxiv_oai · confidence 0.70 Amir Feder
• 2202.12350 #3 · arxiv_oai · confidence 0.70 Amir Feder
• 2102.10395 #2 · arxiv_oai · confidence 0.70 Amir Feder
• 2106.04484 #3 · arxiv_oai · confidence 0.70 Amir Feder
• 2101.07086 #2 · arxiv_oai · confidence 0.70 Amir Feder
• 1910.11292 #2 · arxiv_oai · confidence 0.70 Amir Feder
• 1907.07165 #2 · arxiv_oai · confidence 0.70 Amir Feder
• 2507.23220 #7 · arxiv_oai · confidence 0.70 Amir Feder

Frequent Coauthors

• Roi Reichart 10 shared papers
• Claudia Shi 4 shared papers
• David M. Blei 3 shared papers
• Uri Shalit 3 shared papers
• Yoav Wald 3 shared papers
• Ariel Goldstein 2 shared papers
• Carolina Zheng 2 shared papers
• Itay Laish 2 shared papers
• Nadav Oved 2 shared papers
• Nitay Calderon 2 shared papers
• Abhilasha Ravichander 1 shared papers
• Achille Nazaret 1 shared papers
• Adeen Flinker 1 shared papers
• Akshay Goel 1 shared papers
• Alexander Chapanin 1 shared papers
• Almog Gueta 1 shared papers
• Amit Sharma 1 shared papers
• Asif Mallik 1 shared papers
• Atticus Geiger 1 shared papers
• Avigail Dabush 1 shared papers