LM-Polygraph: Uncertainty Estimation for Language Models. - Ekaterina Fadeeva; Roman Vashurin; Akim Tsvigun; Artem Vazhentsev; Sergey Petrakov; Kirill Fedyanin; Daniil Vasilev; Elizaveta Goncharova; Alexander Panchenko; Maxim Panov; Timothy Baldwin; Artem Shelmanov (EMNLP (Demos), 2023)

Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification. - Ekaterina Fadeeva; Aleksandr Rubashevskii; Artem Shelmanov; Sergey Petrakov; Haonan Li 002; Hamdy Mubarak; Evgenii Tsymbalov; Gleb Kuzmin; Alexander Panchenko; Timothy Baldwin; Preslav Nakov; Maxim Panov (ACL (Findings), 2024)

Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph. - Roman Vashurin; Ekaterina Fadeeva; Artem Vazhentsev; Akim Tsvigun; Daniil Vasilev; Rui Xing; Abdelrahman Boda Sadallah; Lyudmila Rvanova; Sergey Petrakov; Alexander Panchenko; Timothy Baldwin; Preslav Nakov; et al. (CoRR, 2024)

Unconditional Truthfulness: Learning Conditional Dependency for Uncertainty Quantification of Large Language Models. - Artem Vazhentsev; Ekaterina Fadeeva; Rui Xing; Alexander Panchenko; Preslav Nakov; Timothy Baldwin; Maxim Panov; Artem Shelmanov (CoRR, 2024)

Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph. - Roman Vashurin; Ekaterina Fadeeva; Artem Vazhentsev; Lyudmila Rvanova; Daniil Vasilev; Akim Tsvigun; Sergey Petrakov; Rui Xing; Abdelrahman Boda Sadallah; Kirill Grishchenkov; Alexander Panchenko; Timothy Baldwin; et al. (Trans. Assoc. Comput. Linguistics, 2025)

A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs. - Artem Shelmanov; Ekaterina Fadeeva; Akim Tsvigun; Ivan Tsvigun; Zhuohan Xie; Igor Kiselev; Nico Daheim; Caiqi Zhang; Artem Vazhentsev; Mrinmaya Sachan; Preslav Nakov; Timothy Baldwin (CoRR, 2025)

Uncertainty-Aware Attention Heads: Efficient Unsupervised Uncertainty Quantification for LLMs. - Artem Vazhentsev; Lyudmila Rvanova; Gleb Kuzmin; Ekaterina Fadeeva; Ivan Lazichny; Alexander Panchenko; Maxim Panov; Timothy Baldwin; Mrinmaya Sachan; Preslav Nakov; Artem Shelmanov (CoRR, 2025)

Faithfulness-Aware Uncertainty Quantification for Fact-Checking the Output of Retrieval Augmented Generation. - Ekaterina Fadeeva; Aleksandr Rubashevskii; Roman Vashurin; Shehzaad Dhuliawala; Artem Shelmanov; Timothy Baldwin; Preslav Nakov; Mrinmaya Sachan; Maxim Panov (CoRR, 2025)