Dan Friedman
11 papers · 2019–2025 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (28)
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Topic Evolution
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Keyword Collector
(63)
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Century Club Β· Bronze
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Unstoppable Β· Bronze
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Conference Pioneer
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Research topics
Artificial Intelligence
(8)
Core AI
(8)
Natural Language Processing
(7)
Machine Learning
(6)
Deep Learning
(5)
Core Methods
(5)
Applications
(3)
Architectures
(3)
Learning Types Β· Machine Learning
(3)
Generation
(2)
Learning Types Β· Deep Learning
(2)
Optimization & Theory
(2)
Resources & Methods
(2)
Understanding
(2)
Interdisciplinary
(1)
Keywords
large language model
(2)
mechanistic interpretability
(2)
in-context learning
(2)
multi-task learning
(1)
text classification
(1)
probabilistic grammar
(1)
transfer learning
(1)
question answering
(1)
named entity recognition
(1)
syntactic parsing
(1)
text summarization
(1)
factual knowledge
(1)
knowledge probing
(1)
transformer
(1)
program synthesis
(1)
reading comprehension
(1)
semantic role labeling
(1)
model interpretability
(1)
parameter efficient
(1)
feature learning
(1)
Papers
Representing Rule-based Chatbots with Transformers
NAACL 2025
Finding Transformer Circuits With Edge Pruning
NeurIPS 2024
Interpretability Illusions in the Generalization of Simplified Models
ICML 2024
The Heuristic Core: Understanding Subnetwork Generalization in Pretrained Language Models
ACL 2024
Learning Transformer Programs
NeurIPS 2023
Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations
ACL 2023
Finding Dataset Shortcuts with Grammar Induction
EMNLP 2022
Factual Probing Is [MASK]: Learning vs. Learning to Recall
NAACL 2021
Single-dataset Experts for Multi-dataset Question Answering
EMNLP 2021
ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks
AAAI 2019
Syntax-aware Neural Semantic Role Labeling with Supertags
NAACL 2019