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ORCIDMikhail Salnikov
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2020 – today
- 2025
[c10]Viktor Moskvoretskii, Maria Marina, Mikhail Salnikov, Nikolay Ivanov, Sergey Pletenev, Daria Galimzianova, Nikita Krayko, Vasily Konovalov, Irina Nikishina, Alexander Panchenko:
Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home. ACL (1) 2025: 6355-6384- [c9]Dmitrii Iarosh, Alexander Panchenko, Mikhail Salnikov:
On Reducing Factual Hallucinations in Graph-to-Text Generation Using Large Language Models. COLING Workshops 2025: 43-53 - [c8]Sergey Pletenev, Maria Marina, Daniil Moskovskiy, Vasily Konovalov, Pavel Braslavski, Alexander Panchenko, Mikhail Salnikov:
How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM? NAACL (Findings) 2025: 4309-4322 - [c7]Mikhail Salnikov, Andrey Sakhovskiy, Irina Nikishina, Aida Usmanova, Angelie Kraft, Cedric Möller, Debayan Banerjee, Junbo Huang, Longquan Jiang, Rana Abdullah, Xi Yan, Elena Tutubalina, Ricardo Usbeck, Alexander Panchenko:
ShortPathQA: A Dataset for Controllable Fusion of Large Language Models with Knowledge Graphs. NLDB (1) 2025: 95-110 - [i11]Viktor Moskvoretskii, Maria Lysyuk, Mikhail Salnikov, Nikolay Ivanov
, Sergey Pletenev, Daria Galimzianova, Nikita Krayko, Vasily Konovalov, Irina Nikishina, Alexander Panchenko:
Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home. CoRR abs/2501.12835 (2025) - [i10]Sergey Pletenev, Maria Marina, Daniil Moskovskiy, Vasily Konovalov, Pavel Braslavski, Alexander Panchenko, Mikhail Salnikov:
How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM? CoRR abs/2502.14502 (2025) - [i9]Maria Marina, Nikolay Ivanov, Sergey Pletenev, Mikhail Salnikov, Daria Galimzianova, Nikita Krayko, Vasily Konovalov, Alexander Panchenko, Viktor Moskvoretskii:
LLM-Independent Adaptive RAG: Let the Question Speak for Itself. CoRR abs/2505.04253 (2025) - [i8]Sergey Pletenev, Maria Marina, Nikolay Ivanov, Daria Galimzianova, Nikita Krayko, Mikhail Salnikov, Vasily Konovalov, Alexander Panchenko, Viktor Moskvoretskii:
Will It Still Be True Tomorrow? Multilingual Evergreen Question Classification to Improve Trustworthy QA. CoRR abs/2505.21115 (2025) - [i7]Mikhail Salnikov, Dmitrii Korzh, Ivan Lazichny, Elvir Karimov, Artyom Iudin, Ivan V. Oseledets, Oleg Y. Rogov, Natalia V. Loukachevitch, Alexander Panchenko, Elena Tutubalina:
Geopolitical biases in LLMs: what are the "good" and the "bad" countries according to contemporary language models. CoRR abs/2506.06751 (2025) - 2024
- [c6]Ahmad Shallouf, Hanna Herasimchyk, Mikhail Salnikov, Rudy Alexandro Garrido Veliz, Natia Mestvirishvili, Alexander Panchenko, Chris Biemann, Irina Nikishina:
CAM 2.0: End-to-End Open Domain Comparative Question Answering System. LREC/COLING 2024: 2657-2672 - [c5]Maria Lysyuk, Mikhail Salnikov, Pavel Braslavski, Alexander Panchenko:
Konstruktor: A Strong Baseline for Simple Knowledge Graph Question Answering. NLDB (2) 2024: 107-118 - [i6]Maria Lysyuk, Mikhail Salnikov, Pavel Braslavski, Alexander Panchenko:
Konstruktor: A Strong Baseline for Simple Knowledge Graph Question Answering. CoRR abs/2409.15902 (2024) - 2023
- [j3]Ilya Trofimov, Nikita Klyuchnikov, Mikhail Salnikov, Alexander Filippov, Evgeny Burnaev:
Multi-Fidelity Neural Architecture Search With Knowledge Distillation. IEEE Access 11: 59217-59225 (2023) - [c4]Anton Razzhigaev, Mikhail Salnikov, Valentin Malykh, Pavel Braslavski, Alexander Panchenko:
A System for Answering Simple Questions in Multiple Languages. ACL (demo) 2023: 524-537 - [c3]Mikhail Salnikov, Maria Lysyuk, Pavel Braslavski, Anton Razzhigaev, Valentin Malykh, Alexander Panchenko:
Answer Candidate Type Selection: Text-To-Text Language Model for Closed Book Question Answering Meets Knowledge Graphs. KONVENS 2023: 155-164 - [c2]Mikhail Salnikov, Hai Le, Prateek Rajput, Irina Nikishina, Pavel Braslavski, Valentin Malykh, Alexander Panchenko:
Large Language Models Meet Knowledge Graphs to Answer Factoid Questions. PACLIC 2023: 635-644 - [i5]Mikhail Salnikov, Hai Le, Prateek Rajput, Irina Nikishina, Pavel Braslavski, Valentin Malykh, Alexander Panchenko:
Large Language Models Meet Knowledge Graphs to Answer Factoid Questions. CoRR abs/2310.02166 (2023) - [i4]Mikhail Salnikov, Maria Lysyuk, Pavel Braslavski, Anton Razzhigaev, Valentin Malykh, Alexander Panchenko:
Answer Candidate Type Selection: Text-to-Text Language Model for Closed Book Question Answering Meets Knowledge Graphs. CoRR abs/2310.07008 (2023) - 2022
- [j2]Nikita Klyuchnikov, Ilya Trofimov, Ekaterina Artemova, Mikhail Salnikov, Maxim V. Fedorov, Alexander Filippov, Evgeny Burnaev:
NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing. IEEE Access 10: 45736-45747 (2022) - [j1]Artem Mikhaylov, Nina Mazyavkina, Mikhail Salnikov, Ilya Trofimov, Fu Qiang, Evgeny Burnaev:
Learned Query Optimizers: Evaluation and Improvement. IEEE Access 10: 75205-75218 (2022) - 2021
- [c1]Anatasiia Kornilova, Mikhail Salnikov, Olga Novitskaya, Maria Begicheva, Egor Sevriugov, Kirill Shcherbakov, Valeriya Pronina, Dmitry V. Dylov:
Deep Learning Framework For Mobile Microscopy. ISBI 2021: 324-328 - 2020
- [i3]Nikita Klyuchnikov, Ilya Trofimov, Ekaterina Artemova, Mikhail Salnikov, Maxim V. Fedorov, Evgeny Burnaev:
NAS-Bench-NLP: Neural Architecture Search Benchmark for Natural Language Processing. CoRR abs/2006.07116 (2020) - [i2]Ilya Trofimov, Nikita Klyuchnikov, Mikhail Salnikov, Alexander Filippov, Evgeny Burnaev:
Multi-fidelity Neural Architecture Search with Knowledge Distillation. CoRR abs/2006.08341 (2020) - [i1]Anatasiia Kornilova, Mikhail Salnikov, Olga Novitskaya, Maria Begicheva, Egor Sevriugov, Kirill Shcherbakov:
MMDF: Mobile Microscopy Deep Framework. CoRR abs/2007.13701 (2020)
Coauthor Index
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