Feder, Amir
- Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?
2024/05/09 by Zorik Gekhman, Gekhman, Zorik, Gal Yona +11 · 2 voices · 54 citations
Computer Science · #Big Data and Digital Economy #cs.CL
- Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond
2021/09/02 by Amir Feder, Feder, Amir, Katherine A. Keith +23 · 1 voice · 18 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.CL #cs.LG
- Evaluating the Moral Beliefs Encoded in LLMs
2023/07/26 by Nino Scherrer, Scherrer, Nino, Claudia Shi +5 · 38 citations
Computer Science · Decision Sciences · #Topic Modeling #Natural Language Processing Techniques #Data Quality and Management
- Explaining Classifiers with Causal Concept Effect (CaCE)
2019/07/16 by Yash Goyal, Amir Feder, Goyal, Yash +5 · 11 citations
Computer Science · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Confidence Improves Self-Consistency in LLMs
2025/02/10 by Amir Taubenfeld, Tom Sheffer, Taubenfeld, Amir +11 · 36 citations
Health Professions · Computer Science · #Artificial Intelligence in Healthcare #Semantic Web and Ontologies
- LLMs Accelerate Annotation for Medical Information Extraction
2023/12/04 by Goel, Akshay, Gueta, Almog, Gilon, Omry +10 · 10 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Data Augmentations for Improved (Large) Language Model Generalization
2023/10/19 by Amir Feder, Yoav Wald, Feder, Amir +7 · 8 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Natural Language Processing Techniques #Topic Modeling
- Distributional reasoning in LLMs: Parallel reasoning processes in multi-hop reasoning
2024/06/19 by Yuval Shalev, Shalev, Yuval, Amir Feder +3 · 6 citations
Computer Science · #Semantic Web and Ontologies #Multi-Agent Systems and Negotiation
- CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior
2022/05/27 by Abraham, Eldar David, D'Oosterlinck, Karel, Feder, Amir +5 · 3 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Measuring Causal Effects of Data Statistics on Language Model's `Factual' Predictions
2022/07/28 by Yanai Elazar, Nora Kassner, Elazar, Yanai +15 · 3 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Explainable Artificial Intelligence (XAI)
- DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation
2022/02/24 by Nitay Calderon, Eyal Ben‐David, Calderon, Nitay +5 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.7 #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
- Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals
2023/10/01 by Yair Ori Gat, Nitay Calderon, Gat, Yair +9 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
- Can LLMs Learn Macroeconomic Narratives from Social Media?
2024/06/17 by Gueta, Almog, Feder, Amir, Gekhman, Zorik +2 · 2 citations
#Computation and Language (cs.CL) #Computational Engineering #FOS: Computer and information sciences #Finance #and Science (cs.CE)
- Useful Confidence Measures: Beyond the Max Score
2022/10/25 by Yona, Gal, Feder, Amir, Laish, Itay · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)