Artem Shelmanov
37 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🌍 Conference Polyglot (9) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (12)
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Renaissance Researcher
(6)
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Conference Polyglot
(9)
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Academic Marathon
(6)
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Dynamic Duo
(15)
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Mega-Team
(35)
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Deep Specialist
(11)
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Keyword Champion
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Keyword Collector
(129)
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Prolific Year
(5)
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The Questioner
(4)
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Unstoppable
(5)
💎
Century Club
(34)
Conferences
ACL (13)
EMNLP (10)
NAACL (6)
EACL (3)
AACL (1)
COLING (1)
IJCNLP (1)
NIPS (1)
SEMEVAL (1)
Top co-authors
Research topics
Keywords
large language model
(15)
text classification
(9)
uncertainty quantification
(7)
uncertainty estimation
(7)
machine-generated text detection
(6)
binary classification
(5)
hallucination detection
(4)
active learning
(4)
text generation
(4)
selective generation
(3)
multilingual detection
(3)
transformer model
(3)
monte carlo dropout
(3)
attention map
(2)
aleatoric uncertainty
(2)
bayesian inference
(2)
model distillation
(2)
sequence tagging
(2)
selective classification
(2)
named entity recognition
(2)
Papers
ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM Reasoning
ACL 2026
Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models
ACL 2026
Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI
ACL 2026
Inference-Time Selective Debiasing to Enhance Fairness in Text Classification Models
NAACL 2025
Uncertainty-driven Partial Diacritization for Arabic Text
EMNLP 2025
Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability
NAACL 2025
Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models
NAACL 2025
How to Compare Things Properly? A Study of Argument Relevance in Comparative Question Answering
ACL 2025
ATGen: A Framework for Active Text Generation
ACL 2025
Uncertainty Quantification for Large Language Models
ACL 2025
GenAI Content Detection Task 1: English and Multilingual Machine-Generated Text Detection: AI vs. Human
COLING 2025
Exploring Large Language Models for Detecting Mental Disorders
EMNLP 2025
Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models
EMNLP 2025
A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs
EMNLP 2025
SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection
NAACL 2024
M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection
EACL 2024
SemEval-2024 Task 8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection
SEMEVAL 2024
M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection
ACL 2024
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
ACL 2024
LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection
EMNLP 2024
[RETRACTED] Vikhr: Constructing a State-of-the-art Bilingual Open-Source Instruction-Following Large Language Model for Russian
EMNLP 2024
LM-Polygraph: Uncertainty Estimation for Language Models
EMNLP 2023
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
Efficient Out-of-Domain Detection for Sequence to Sequence Models
ACL 2023
Active Learning for Abstractive Text Summarization
EMNLP 2022
Uncertainty Estimation of Transformer Predictions for Misclassification Detection
ACL 2022
RuCCoN: Clinical Concept Normalization in Russian
ACL 2022
ALToolbox: A Set of Tools for Active Learning Annotation of Natural Language Texts
EMNLP 2022
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network
NIPS 2022
Towards Computationally Feasible Deep Active Learning
NAACL 2022
NB-MLM: Efficient Domain Adaptation of Masked Language Models for Sentiment Analysis
EMNLP 2021
How Certain is Your Transformer?
EACL 2021
Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates
EACL 2021
Towards the Data-driven System for Rhetorical Parsing of Russian Texts
NAACL 2019
A Dataset for Noun Compositionality Detection for a Slavic Language
ACL 2019