Emily Reif
9 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16) 🌍 Conference Polyglot · Silver
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Keyword Pioneer
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Mega-Team · Legion
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Keyword Champion
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The Questioner
Venues
Top co-authors
Research topics
Natural Language Processing
(6)
Artificial Intelligence
(5)
Deep Learning
(4)
Machine Learning
(4)
Generation
(4)
Core AI
(3)
Resources & Methods
(3)
Architectures
(2)
Core Methods
(2)
Learning Paradigms
(2)
Application Areas
(1)
Applications
(1)
Learning Types
(1)
Models
(1)
Optimization & Theory
(1)
Keywords
language model
(3)
large language model
(2)
pretraining data
(2)
text generation
(1)
bert model
(1)
text style transfer
(1)
model interpretability
(1)
harmful content
(1)
local explanation
(1)
downstream task
(1)
data quality
(1)
model benchmarking
(1)
hidden representation
(1)
distribution alignment
(1)
refusal behavior
(1)
semantic subspace
(1)
ground truth
(1)
word embedding
(1)
attribution method
(1)
counterfactual generation
(1)
Papers
A Pretrainer’s Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity
NAACL 2024
Who's asking? User personas and the mechanics of latent misalignment
NeurIPS 2024
Data Similarity is Not Enough to Explain Language Model Performance
EMNLP 2023
PaLM: Scaling Language Modeling with Pathways
JMLR 2023
A Recipe for Arbitrary Text Style Transfer with Large Language Models
ACL 2022
The Case for a Single Model that can Both Generate Continuations and Fill-in-the-Blank
NAACL 2022
Evaluating Attribution for Graph Neural Networks
NeurIPS 2020
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models
EMNLP 2020
Visualizing and Measuring the Geometry of BERT
NeurIPS 2019