Amir Feder
18 papers · 2021–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (46) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Century Club Β· Bronze
ποΈ
Keyword Collector
(90)
π
Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
β
The Questioner
(3)
β‘
Prolific Year Β· Productive
Venues
Top co-authors
Research topics
Machine Learning
(15)
Artificial Intelligence
(11)
Natural Language Processing
(10)
Core AI
(10)
Learning Types Β· Machine Learning
(9)
Deep Learning
(7)
Application Areas
(7)
Optimization & Theory
(5)
Applications
(4)
Learning Types Β· Deep Learning
(4)
Resources & Methods
(4)
Generation
(2)
Learning Paradigms
(2)
Understanding
(2)
Computer Vision
(1)
Keywords
large language model
(5)
causal inference
(5)
clinical note
(4)
natural language processing
(3)
named entity recognition
(2)
pre-trained language model
(2)
spurious correlation
(2)
differential privacy
(2)
entity extraction
(2)
model interpretability
(2)
privacy guarantee
(2)
causal discovery
(1)
multi-task learning
(1)
uncertainty quantification
(1)
text classification
(1)
sample efficiency
(1)
sentiment analysis
(1)
data augmentation
(1)
embedding space
(1)
catastrophic forgetting
(1)
Papers
Can LLMs Learn Macroeconomic Narratives from Social Media?
NAACL 2025
Confidence Improves Self-Consistency in LLMs
ACL 2025
Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?
EMNLP 2024
Exploring the Learning Capabilities of Language Models using LEVERWORLDS
EMNLP 2024
Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals
ICLR 2024
An Invariant Learning Characterization of Controlled Text Generation
ACL 2023
Data Augmentations for Improved (Large) Language Model Generalization
NeurIPS 2023
Evaluating the Moral Beliefs Encoded in LLMs
NeurIPS 2023
Building a Clinically-Focused Problem List From Medical Notes
EMNLP 2022
CausalNLP Tutorial: An Introduction to Causality for Natural Language Processing
EMNLP 2022
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior
NeurIPS 2022
DoCoGen: Domain Counterfactual Generation for Low Resource Domain Adaptation
ACL 2022
In the Eye of the Beholder: Robust Prediction with Causal User Modeling
NeurIPS 2022
Section Classification in Clinical Notes with Multi-task Transformers
EMNLP 2022
Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions
ACL 2021
Learning and Evaluating a Differentially Private Pre-trained Language Model
EMNLP 2021
Learning and Evaluating a Differentially Private Pre-trained Language Model
NAACL 2021
On Calibration and Out-of-Domain Generalization
NeurIPS 2021