Gleb Kuzmin
11 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (6) π Academic Marathon (5) πΊοΈ Taxonomy Completionist (26)
π
Academic Marathon
(5)
π
Renaissance Researcher
(5)
π
Interdisciplinary Bridge
π€
Dynamic Duo
(10)
β
The Questioner
(2)
π
Century Club
(11)
Conferences
ACL (3)
EMNLP (3)
NAACL (2)
AACL (1)
COLING (1)
IJCNLP (1)
Top co-authors
Keywords
text classification
(5)
large language model
(3)
uncertainty estimation
(2)
uncertainty quantification
(2)
selective classification
(2)
hallucination detection
(2)
model distillation
(1)
toxicity detection
(1)
attention mechanism
(1)
autoregressive generation
(1)
data annotation
(1)
sequence tagging
(1)
computational efficiency
(1)
mental health detection
(1)
epistemic uncertainty
(1)
out-of-distribution detection
(1)
named entity recognition
(1)
autoregressive model
(1)
kl divergence
(1)
natural language processing
(1)
Papers
Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models
EMNLP 2025
Exploring Large Language Models for Detecting Mental Disorders
EMNLP 2025
Inference-Time Selective Debiasing to Enhance Fairness in Text Classification Models
NAACL 2025
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
ACL 2024
Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability?
AACL 2023
Hybrid Uncertainty Quantification for Selective Text Classification in Ambiguous Tasks
ACL 2023
Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability?
IJCNLP 2023
Uncertainty Estimation of Transformer Predictions for Misclassification Detection
ACL 2022
Towards Computationally Feasible Deep Active Learning
NAACL 2022
ALToolbox: A Set of Tools for Active Learning Annotation of Natural Language Texts
EMNLP 2022
Fake news detection for the Russian language
COLING 2020