Emily Reif
9 papers · 2019–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (5) π Academic Marathon (5) πΊοΈ Taxonomy Completionist (17) π§ Keyword Pioneer
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π₯
Mega-Team
(67)
π
Keyword Champion
β
The Questioner
Conferences
NIPS (3)
EMNLP (2)
NAACL (2)
ACL (1)
JMLR (1)
Top co-authors
Keywords
language model
(3)
large language model
(2)
pretraining datum
(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
Who's asking? User personas and the mechanics of latent misalignment
NIPS 2024
A Pretrainerβs Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity
NAACL 2024
PaLM: Scaling Language Modeling with Pathways
JMLR 2023
Data Similarity is Not Enough to Explain Language Model Performance
EMNLP 2023
The Case for a Single Model that can Both Generate Continuations and Fill-in-the-Blank
NAACL 2022
A Recipe for Arbitrary Text Style Transfer with Large Language Models
ACL 2022
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models
EMNLP 2020
Evaluating Attribution for Graph Neural Networks
NIPS 2020
Visualizing and Measuring the Geometry of BERT
NIPS 2019