Mikhail Salnikov

According to our database, Mikhail Salnikov authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, January, 2025

2024

Konstruktor: A Strong Baseline for Simple Knowledge Graph Question Answering.

Maria Lysyuk, Mikhail Salnikov, Pavel Braslavski, Alexander Panchenko

Proceedings of the Natural Language Processing and Information Systems, 2024

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

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Multi-Fidelity Neural Architecture Search With Knowledge Distillation.

Ilya Trofimov, Nikita Klyuchnikov, Mikhail Salnikov, Alexander Filippov, Evgeny Burnaev

IEEE Access, 2023

Large Language Models Meet Knowledge Graphs to Answer Factoid Questions.

Mikhail Salnikov, Hai Le, Prateek Rajput, Irina Nikishina, Pavel Braslavski, Valentin Malykh, Alexander Panchenko

Proceedings of the 37th Pacific Asia Conference on Language, 2023

Answer Candidate Type Selection: Text-To-Text Language Model for Closed Book Question Answering Meets Knowledge Graphs.

Mikhail Salnikov, Maria Lysyuk, Pavel Braslavski, Anton Razzhigaev, Valentin Malykh, Alexander Panchenko

Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023), 2023

A System for Answering Simple Questions in Multiple Languages.

Anton Razzhigaev, Mikhail Salnikov, Valentin Malykh, Pavel Braslavski, Alexander Panchenko

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

2022

Learned Query Optimizers: Evaluation and Improvement.

Artem Mikhaylov, Nina Mazyavkina, Mikhail Salnikov, Ilya Trofimov, Fu Qiang, Evgeny Burnaev

IEEE Access, 2022

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

2021

Deep Learning Framework For Mobile Microscopy.

Anatasiia Kornilova, Mikhail Salnikov, Olga Novitskaya, Maria Begicheva, Egor Sevriugov, Kirill Shcherbakov, Valeriya Pronina, Dmitry V. Dylov

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

MMDF: Mobile Microscopy Deep Framework.

Anatasiia Kornilova, Mikhail Salnikov, Olga Novitskaya, Maria Begicheva, Egor Sevriugov, Kirill Shcherbakov

CoRR, 2020

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