Amir Feder
19 papers · 2021–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (8) π§ Keyword Pioneer π Cross-Pollinator (9) π Conference Polyglot (6) π Interdisciplinary Bridge
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Taxonomy Completionist
(48)
π§
Keyword Pioneer
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(91)
π
Century Club
(19)
β
The Questioner
(4)
π₯
Unstoppable
(5)
Conferences
EMNLP (6)
NIPS (5)
ACL (4)
NAACL (2)
ICLR (1)
IJCNLP (1)
Top co-authors
Research topics
Keywords
large language model
(5)
causal inference
(4)
clinical note
(4)
natural language processing
(3)
visual question answering
(2)
differential privacy
(2)
data augmentation
(2)
spurious correlation
(2)
entity extraction
(2)
named entity recognition
(2)
privacy guarantee
(2)
pre-trained language model
(2)
uncertainty quantification
(1)
causal discovery
(1)
multi-task learning
(1)
text classification
(1)
sample efficiency
(1)
sentiment analysis
(1)
domain adaptation
(1)
catastrophic forgetting
(1)
Papers
Confidence Improves Self-Consistency in LLMs
ACL 2025
Can LLMs Learn Macroeconomic Narratives from Social Media?
NAACL 2025
Exploring the Learning Capabilities of Language Models using LEVERWORLDS
EMNLP 2024
Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals
ICLR 2024
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?
EMNLP 2024
An Invariant Learning Characterization of Controlled Text Generation
ACL 2023
Evaluating the Moral Beliefs Encoded in LLMs
NIPS 2023
Data Augmentations for Improved (Large) Language Model Generalization
NIPS 2023
CausalNLP Tutorial: An Introduction to Causality for Natural Language Processing
EMNLP 2022
Section Classification in Clinical Notes with Multi-task Transformers
EMNLP 2022
Building a Clinically-Focused Problem List From Medical Notes
EMNLP 2022
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior
NIPS 2022
DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation
ACL 2022
In the Eye of the Beholder: Robust Prediction with Causal User Modeling
NIPS 2022
Learning and Evaluating a Differentially Private Pre-trained Language Model
EMNLP 2021
Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions
ACL 2021
On Calibration and Out-of-Domain Generalization
NIPS 2021
Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions
IJCNLP 2021
Learning and Evaluating a Differentially Private Pre-trained Language Model
NAACL 2021