Ekaterina Fadeeva

18 papers A* 2Journal 11Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Uncertainty Quantification for Large Language Models. ECIR (4) Maxim Panov, Artem Shelmanov, Roman Vashurin, Artem Vazhentsev, Ekaterina Fadeeva, Lyudmila Rvanova, Timothy Baldwin
2026	J	`jnl`	zDUR: reference-free FASTQ compressor with high compression ratio and speed. BMC Bioinform. Artem Ershov, Renpeng Ding, Qian Fu, Ivan Kozlov, Ekaterina Fadeeva, Evgeniy Mozheiko, Ming Ni, Yong Hou, Yan Zhou
2025	A*	`conf`	A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs. EMNLP Artem Shelmanov, Ekaterina Fadeeva, Akim Tsvigun, Ivan Tsvigun, Zhuohan Xie, Igor Kiselev, Nico Daheim, Caiqi Zhang, Artem Vazhentsev, Mrinmaya Sachan, Preslav Nakov, Timothy Baldwin
2025	J	`jnl`	A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs. CoRR Artem Shelmanov, Ekaterina Fadeeva, Akim Tsvigun, Ivan Tsvigun, Zhuohan Xie, Igor Kiselev, Nico Daheim, Caiqi Zhang, Artem Vazhentsev, Mrinmaya Sachan, Preslav Nakov, Timothy Baldwin
2025	J	`jnl`	Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph. Trans. Assoc. Comput. Linguistics 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, Preslav Nakov, Maxim Panov, Artem Shelmanov
2025	—	`conf`	Data-Driven DSS for Assessing the Viability of Urban and Rural Settlements. NiDS (2) Violetta Gushchina, Danila S. Parygin, Ekaterina Fadeeva, Andrey Alekseev, Artyom Kolyadov
2025	J	`jnl`	Don't Throw Away Your Beams: Improving Consistency-based Uncertainties in LLMs via Beam Search. CoRR Ekaterina Fadeeva, Maiya Goloburda, Aleksandr Rubashevskii, Roman Vashurin, Artem Shelmanov, Preslav Nakov, Mrinmaya Sachan, Maxim Panov
2025	J	`jnl`	Faithfulness-Aware Uncertainty Quantification for Fact-Checking the Output of Retrieval Augmented Generation. CoRR Ekaterina Fadeeva, Aleksandr Rubashevskii, Roman Vashurin, Shehzaad Dhuliawala, Artem Shelmanov, Timothy Baldwin, Preslav Nakov, Mrinmaya Sachan, Maxim Panov
2025	J	`jnl`	Reasoning with Confidence: Efficient Verification of LLM Reasoning Steps via Uncertainty Heads. CoRR Jingwei Ni, Ekaterina Fadeeva, Tianyi Wu, Mubashara Akhtar, Jiaheng Zhang, Elliott Ash, Markus Leippold, Timothy Baldwin, See-Kiong Ng, Artem Shelmanov, Mrinmaya Sachan
2025	—	`conf`	Uncertainty Quantification for Large Language Models. ACL (5) Artem Shelmanov, Maxim Panov, Roman Vashurin, Artem Vazhentsev, Ekaterina Fadeeva, Timothy Baldwin
2025	J	`jnl`	Uncertainty-Aware Attention Heads: Efficient Unsupervised Uncertainty Quantification for LLMs. CoRR Artem Vazhentsev, Lyudmila Rvanova, Gleb Kuzmin, Ekaterina Fadeeva, Ivan Lazichny, Alexander Panchenko, Maxim Panov, Timothy Baldwin, Mrinmaya Sachan, Preslav Nakov, Artem Shelmanov
2025	A*	`conf`	Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models. EMNLP Artem Vazhentsev, Ekaterina Fadeeva, Rui Xing, Gleb Kuzmin, Ivan Lazichny, Alexander Panchenko, Preslav Nakov, Timothy Baldwin, Maxim Panov, Artem Shelmanov
2024	J	`jnl`	Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph. CoRR 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, Maxim Panov, Artem Shelmanov
2024	—	`conf`	Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification. ACL (Findings) Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, Sergey Petrakov, Haonan Li, Hamdy Mubarak, Evgenii Tsymbalov, Gleb Kuzmin, Alexander Panchenko, Timothy Baldwin, Preslav Nakov, Maxim Panov
2024	J	`jnl`	Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification. CoRR Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, Sergey Petrakov, Haonan Li, Hamdy Mubarak, Evgenii Tsymbalov, Gleb Kuzmin, Alexander Panchenko, Timothy Baldwin, Preslav Nakov, Maxim Panov
2024	J	`jnl`	Unconditional Truthfulness: Learning Conditional Dependency for Uncertainty Quantification of Large Language Models. CoRR Artem Vazhentsev, Ekaterina Fadeeva, Rui Xing, Alexander Panchenko, Preslav Nakov, Timothy Baldwin, Maxim Panov, Artem Shelmanov
2023	—	`conf`	LM-Polygraph: Uncertainty Estimation for Language Models. EMNLP (Demos) Ekaterina Fadeeva, Roman Vashurin, Akim Tsvigun, Artem Vazhentsev, Sergey Petrakov, Kirill Fedyanin, Daniil Vasilev, Elizaveta Goncharova, Alexander Panchenko, Maxim Panov, Timothy Baldwin, Artem Shelmanov
2023	J	`jnl`	LM-Polygraph: Uncertainty Estimation for Language Models. CoRR Ekaterina Fadeeva, Roman Vashurin, Akim Tsvigun, Artem Vazhentsev, Sergey Petrakov, Kirill Fedyanin, Daniil Vasilev, Elizaveta Goncharova, Alexander Panchenko, Maxim Panov, Timothy Baldwin, Artem Shelmanov