Edwin Simpson
11 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(10)
Learning Types
(10)
Artificial Intelligence
(5)
Natural Language Processing
(5)
Applications Β· Natural Language Processing
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Core Methods
(3)
Deep Learning
(2)
Application Areas
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Core AI
(2)
Optimization & Theory
(2)
Reinforcement Learning
(1)
Applications Β· Reinforcement Learning
(1)
Generation
(1)
Keywords
reinforcement learning
(3)
preference learning
(2)
language model
(2)
gaussian process
(2)
active learning
(2)
named entity recognition
(2)
factual consistency
(2)
inter-annotator disagreement
(2)
uncertainty quantification
(1)
humor detection
(1)
sequence labeling
(1)
reading comprehension
(1)
adversarial training
(1)
sequence tagging
(1)
dialogue generation
(1)
bayesian inference
(1)
label aggregation
(1)
bayesian approach
(1)
bayesian optimization
(1)
label noise
(1)
Papers
Teaching Language Models to Check Grounded Claim Factuality with Human Test-Taking Strategies
ACL 2026
Optimising Factual Consistency in Summarisation via Preference Learning from Multiple Imperfect Metrics
EMNLP 2025
Efficiently Acquiring Human Feedback with Bayesian Deep Learning
EACL 2024
Aggregating and Learning from Multiple Annotators
EACL 2021
A Proposal: Interactively Learning to Summarise Timelines by Reinforcement Learning
ACL 2021
Improving Factual Consistency Between a Response and Persona Facts
EACL 2021
SemEval-2021 Task 12: Learning with Disagreements
SemEval 2021
Low Resource Sequence Tagging with Weak Labels
AAAI 2020
A Bayesian Approach for Sequence Tagging with Crowds
EMNLP 2019
Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning
ACL 2019
Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems
NAACL 2019