Artem Vazhentsev
16 papers · 2022–2026 · 7 venues · across top CS/AI venues
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large language model
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uncertainty quantification
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hallucination detection
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uncertainty estimation
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text classification
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text generation
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epistemic uncertainty
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attention map
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Papers
ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM Reasoning
ACL 2026
A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs
EMNLP 2025
SmurfCat at SemEval-2025 Task 3: Bridging External Knowledge and Model Uncertainty for Enhanced Hallucination Detection
SemEval 2025
SmurfCat at SHROOM-CAP: Factual but Awkward? Fluent but Wrong? Tackling Both in LLM Scientific QA
AACL 2025
Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models
NAACL 2025
Uncertainty Quantification for Large Language Models
ACL 2025
Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models
EMNLP 2025
When Models Lie, We Learn: Multilingual Span-Level Hallucination Detection with PsiloQA
EMNLP 2025
Industry vs Academia: Running a Course on Transformers in Two Setups
ACL 2024
Efficient Out-of-Domain Detection for Sequence to Sequence Models
ACL 2023
Hybrid Uncertainty Quantification for Selective Text Classification in Ambiguous Tasks
ACL 2023
LM-Polygraph: Uncertainty Estimation for Language Models
EMNLP 2023
Uncertainty Estimation for Debiased Models: Does Fairness Hurt Reliability?
IJCNLP 2023
ALToolbox: A Set of Tools for Active Learning Annotation of Natural Language Texts
EMNLP 2022
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network
NeurIPS 2022
Uncertainty Estimation of Transformer Predictions for Misclassification Detection
ACL 2022