NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing. - Nikita Klyuchnikov; Ilya Trofimov; Ekaterina Artemova; Mikhail Salnikov; Maxim V. Fedorov; Evgeny Burnaev (CoRR, 2020)

MMDF: Mobile Microscopy Deep Framework. - Anatasiia Kornilova; Mikhail Salnikov; Olga Novitskaya; Maria Begicheva; Egor Sevriugov; Kirill Shcherbakov (CoRR, 2020)

Deep Learning Framework For Mobile Microscopy. - Anatasiia Kornilova; Mikhail Salnikov; Olga Novitskaya; Maria Begicheva; Egor Sevriugov; Kirill Shcherbakov; Valeriya Pronina; Dmitry V. Dylov (ISBI, 2021)

NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing. - Nikita Klyuchnikov; Ilya Trofimov; Ekaterina Artemova; Mikhail Salnikov; Maxim V. Fedorov; Alexander Filippov; Evgeny Burnaev (IEEE Access, 2022)

Learned Query Optimizers: Evaluation and Improvement. - Artem Mikhaylov; Nina Mazyavkina; Mikhail Salnikov; Ilya Trofimov; Fu Qiang; Evgeny Burnaev (IEEE Access, 2022)

A System for Answering Simple Questions in Multiple Languages. - Anton Razzhigaev; Mikhail Salnikov; Valentin Malykh; Pavel Braslavski 001; Alexander Panchenko (ACL (demo), 2023)

Answer Candidate Type Selection: Text-To-Text Language Model for Closed Book Question Answering Meets Knowledge Graphs. - Mikhail Salnikov; Maria Lysyuk; Pavel Braslavski 001; Anton Razzhigaev; Valentin Malykh; Alexander Panchenko (KONVENS, 2023)

Large Language Models Meet Knowledge Graphs to Answer Factoid Questions. - Mikhail Salnikov; Hai Le; Prateek Rajput; Irina Nikishina; Pavel Braslavski 001; Valentin Malykh; Alexander Panchenko (PACLIC, 2023)

Multi-Fidelity Neural Architecture Search With Knowledge Distillation. - Ilya Trofimov; Nikita Klyuchnikov; Mikhail Salnikov; Alexander Filippov; Evgeny Burnaev (IEEE Access, 2023)

CAM 2.0: End-to-End Open Domain Comparative Question Answering System. - Ahmad Shallouf; Hanna Herasimchyk; Mikhail Salnikov; Rudy Alexandro Garrido Veliz; Natia Mestvirishvili; Alexander Panchenko; Chris Biemann; Irina Nikishina (LREC/COLING, 2024)

Konstruktor: A Strong Baseline for Simple Knowledge Graph Question Answering. - Maria Lysyuk; Mikhail Salnikov; Pavel Braslavski 001; Alexander Panchenko (NLDB (2), 2024)

Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home. - Viktor Moskvoretskii; Maria Marina; Mikhail Salnikov; Nikolay Ivanov; Sergey Pletenev; Daria Galimzianova; Nikita Krayko; Vasily Konovalov; Irina Nikishina; Alexander Panchenko (ACL (1), 2025)

On Reducing Factual Hallucinations in Graph-to-Text Generation Using Large Language Models. - Dmitrii Iarosh; Alexander Panchenko; Mikhail Salnikov (COLING Workshops, 2025)

How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM? - Sergey Pletenev; Maria Marina; Daniil Moskovskiy; Vasily Konovalov; Pavel Braslavski 001; Alexander Panchenko; Mikhail Salnikov (NAACL (Findings), 2025)

ShortPathQA: A Dataset for Controllable Fusion of Large Language Models with Knowledge Graphs. - Mikhail Salnikov; Andrey Sakhovskiy; Irina Nikishina; Aida Usmanova; Angelie Kraft; Cedric Möller; Debayan Banerjee; Junbo Huang; Longquan Jiang 001; Rana Abdullah; Xi Yan 001; Elena Tutubalina; et al. (NLDB (1), 2025)

Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home. - Viktor Moskvoretskii; Maria Lysyuk; Mikhail Salnikov; Nikolay Ivanov; Sergey Pletenev; Daria Galimzianova; Nikita Krayko; Vasily Konovalov; Irina Nikishina; Alexander Panchenko (CoRR, 2025)

LLM-Independent Adaptive RAG: Let the Question Speak for Itself. - Maria Marina; Nikolay Ivanov; Sergey Pletenev; Mikhail Salnikov; Daria Galimzianova; Nikita Krayko; Vasily Konovalov; Alexander Panchenko; Viktor Moskvoretskii (CoRR, 2025)

Will It Still Be True Tomorrow? Multilingual Evergreen Question Classification to Improve Trustworthy QA. - Sergey Pletenev; Maria Marina; Nikolay Ivanov; Daria Galimzianova; Nikita Krayko; Mikhail Salnikov; Vasily Konovalov; Alexander Panchenko; Viktor Moskvoretskii (CoRR, 2025)

Geopolitical biases in LLMs: what are the "good" and the "bad" countries according to contemporary language models. - Mikhail Salnikov; Dmitrii Korzh; Ivan Lazichny; Elvir Karimov; Artyom Iudin; Ivan V. Oseledets; Oleg Y. Rogov; Natalia V. Loukachevitch; Alexander Panchenko; Elena Tutubalina (CoRR, 2025)