Ekaterina Fadeeva
7 papers · 2023–2026 · 2 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
(15)
Top co-authors
Research topics
Artificial Intelligence
(7)
Core AI
(7)
Machine Learning
(3)
Deep Learning
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Natural Language Processing
(1)
Applications
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Optimization & Theory · Machine Learning
(1)
Keywords
large language model
(7)
hallucination detection
(4)
uncertainty quantification
(4)
selective generation
(2)
attention map
(2)
autoregressive model
(1)
uncertainty estimation
(1)
out-of-domain generalization
(1)
token-level prediction
(1)
multi-step reasoning
(1)
process reward model
(1)
test-time scaling
(1)
token-level analysis
(1)
confidence score
(1)
reasoning trajectory
(1)
recurrent uncertainty
(1)
biography generation
(1)
internal state probing
(1)
quality-cost trade-off
(1)
test-time compute scaling
(1)
Papers
Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models
ACL 2026
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
Uncertainty Quantification for Large Language Models
ACL 2025
Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models
EMNLP 2025
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
ACL 2024
LM-Polygraph: Uncertainty Estimation for Language Models
EMNLP 2023