Ekaterina Fadeeva
7 papers · 2023–2026 · 2 conferences · across top CS/AI conferences
Achievements
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π
Conference Polyglot
(2)
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Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(13)
π§
Keyword Pioneer
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Cross-Pollinator
(15)
Conferences
ACL (4)
EMNLP (3)
Top co-authors
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
Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models
EMNLP 2025
Uncertainty Quantification for Large Language Models
ACL 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