Kevin Leach
10 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (24) π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Diamond
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(7)
Core AI
(7)
Application Areas
(5)
Natural Language Processing
(4)
Core Methods
(4)
Learning Types
(4)
Deep Learning
(3)
Generation
(3)
Computer Vision
(2)
Applications Β· Natural Language Processing
(2)
Domain-Specific
(2)
Computer Science
(1)
Security & Privacy
(1)
Applications Β· Computer Science
(1)
Keywords
intent classification
(3)
document classification
(2)
dialogue system
(2)
label noise
(2)
text classification
(2)
benchmark evaluation
(2)
dialog system
(2)
privacy preservation
(1)
human attention
(1)
document understanding
(1)
eye tracking
(1)
out-of-distribution generalization
(1)
data augmentation
(1)
distribution shift
(1)
out-of-distribution detection
(1)
synthetic data
(1)
ensemble method
(1)
data quality
(1)
privacy protection
(1)
task-oriented dialogue
(1)
Papers
EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention
ACL 2026
SUGAR: A Sweeter Spot for Generative Unlearning of Many Identities
WACV 2026
De-Identification of Sensitive Personal Data in Datasets Derived from IIT-CDIP
EMNLP 2024
Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification
COLING 2024
On Evaluation of Document Classification with RVL-CDIP
EACL 2023
Evaluating Out-of-Distribution Performance on Document Image Classifiers
NeurIPS 2022
One Agent To Rule Them All: Towards Multi-agent Conversational AI
ACL 2022
Inconsistencies in Crowdsourced Slot-Filling Annotations: A Typology and Identification Methods
COLING 2020
Iterative Feature Mining for Constraint-Based Data Collection to Increase Data Diversity and Model Robustness
EMNLP 2020
An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction
EMNLP 2019