Dylan Slack
7 papers · 2020–2024 · 3 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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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(15)
Venues
Top co-authors
Research topics
Artificial Intelligence
(4)
Machine Learning
(4)
Core AI
(4)
Natural Language Processing
(3)
Deep Learning
(2)
Application Areas
(2)
Learning Types · Machine Learning
(2)
Applications
(1)
Bayesian & Probabilistic
(1)
Generation
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Optimization & Theory
(1)
Resources & Methods
(1)
Keywords
post-hoc explanation
(2)
large language model
(2)
contrastive learning
(1)
benchmark evaluation
(1)
adversarial robustness
(1)
reward modeling
(1)
algorithmic fairness
(1)
transfer learning
(1)
mathematical reasoning
(1)
in-context learning
(1)
language modeling
(1)
model pretraining
(1)
privacy preservation
(1)
feature importance
(1)
model interpretability
(1)
reinforcement learning from human feedback
(1)
model uncertainty
(1)
bayesian framework
(1)
language model
(1)
foundation model
(1)
Papers
A Careful Examination of Large Language Model Performance on Grade School Arithmetic
NeurIPS 2024
Learning Goal-Conditioned Representations for Language Reward Models
NeurIPS 2024
Post Hoc Explanations of Language Models Can Improve Language Models
NeurIPS 2023
Counterfactual Explanations Can Be Manipulated
NeurIPS 2021
On the Lack of Robust Interpretability of Neural Text Classifiers
ACL 2021
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability
NeurIPS 2021
Differentially Private Language Models Benefit from Public Pre-training
EMNLP 2020