Aleksandr Rubashevskii
5 papers · 2022–2024 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(17)
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Hot Topic Early Bird
Venues
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Research topics
Artificial Intelligence
(4)
Machine Learning
(4)
Learning Types · Machine Learning
(4)
Natural Language Processing
(3)
Applications
(3)
Deep Learning
(2)
Core AI
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Paradigms · Machine Learning
(2)
Optimization & Theory · Machine Learning
(2)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Resources & Methods
(1)
Keywords
uncertainty quantification
(3)
conformal prediction
(2)
large language model
(2)
federated learning
(2)
text classification
(1)
factual accuracy
(1)
claim verification
(1)
data annotation
(1)
language model evaluation
(1)
sequence tagging
(1)
quantile regression
(1)
label shift
(1)
data heterogeneity
(1)
confidence set
(1)
evaluation benchmark
(1)
hallucination detection
(1)
query strategy
(1)
token-level prediction
(1)
annotation scheme
(1)
fact checking
(1)
Papers
Efficient Conformal Prediction under Data Heterogeneity
AISTATS 2024
Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers
EMNLP 2024
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
ACL 2024
Conformal Prediction for Federated Uncertainty Quantification Under Label Shift
ICML 2023
ALToolbox: A Set of Tools for Active Learning Annotation of Natural Language Texts
EMNLP 2022