Alex Beutel
15 papers · 2014–2025 · 7 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(12)
Application Areas
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Artificial Intelligence
(6)
Core AI
(6)
Learning Types Β· Machine Learning
(5)
Natural Language Processing
(4)
Core Methods
(4)
Generation
(3)
Deep Learning
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Learning Types Β· Deep Learning
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Optimization & Theory
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Computer Science
(1)
Reinforcement Learning
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Keywords
large language model
(4)
distribution shift
(3)
text classification
(2)
domain generalization
(2)
reinforcement learning
(2)
model robustness
(2)
adversarial learning
(2)
demographic parity
(2)
counterfactual data augmentation
(2)
adversarial robustness
(1)
data augmentation
(1)
vision transformer
(1)
text generation
(1)
fairness testing
(1)
label smoothing
(1)
domain adaptation
(1)
adversarial training
(1)
distributed learning
(1)
toxicity detection
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sentiment classification
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Papers
First-Person Fairness in Chatbots
ICLR 2025
Controlled Decoding from Language Models
ICML 2024
Rule Based Rewards for Language Model Safety
NeurIPS 2024
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data
NeurIPS 2023
Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation
EMNLP 2023
Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting
EMNLP 2023
Flexible text generation for counterfactual fairness probing
NAACL 2022
Underspecification Presents Challenges for Credibility in Modern Machine Learning
JMLR 2022
Understanding and Improving Robustness of Vision Transformers through Patch-based Negative Augmentation
NeurIPS 2022
Can We Improve Model Robustness through Secondary Attribute Counterfactuals?
EMNLP 2021
Improving Calibration through the Relationship with Adversarial Robustness
NeurIPS 2021
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation
EMNLP 2020
Fairness without Demographics through Adversarially Reweighted Learning
NeurIPS 2020
Factorized Recurrent Neural Architectures for Longer Range Dependence
AISTATS 2018
Fugue: Slow-Worker-Agnostic Distributed Learning for Big Models on Big Data
AISTATS 2014