Sergey Pletenev
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
6
Active years
2023–2026
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Boosting Self-Consistency with Ranking. | Maria Marina, Daniil Moskovskiy, Sergey Pletenev, Mikhail Salnikov, Alexander Panchenko, Viktor Moskvoretskii |
| 2025 | ACL | 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 |
| 2025 | EMNLP | 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 |
| 2025 | EMNLP | 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 |
| 2025 | NAACL | SynthDetoxM: Modern LLMs are Few-Shot Parallel Detoxification Data Annotators. | Daniil Moskovskiy, Nikita Sushko, Sergey Pletenev, Elena Tutubalina, Alexander Panchenko |
| 2025 | NAACL | How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM? | Sergey Pletenev, Maria Marina, Daniil Moskovskiy, Vasily Konovalov, Pavel Braslavski, Alexander Panchenko, Mikhail Salnikov |
| 2025 | NLDB | Memory Efficient LM Compression Using Fisher Information from Low-Rank Representations. | Daniil Moskovskiy, Sergey Pletenev, Sergey Zagoruyko, Alexander Panchenko |
| 2024 | EMNLP | LLMs to Replace Crowdsourcing For Parallel Data Creation? The Case of Text Detoxification. | Daniil Moskovskiy, Sergey Pletenev, Alexander Panchenko |
| 2023 | AIST | Transformers Compression: A Study of Matrix Decomposition Methods Using Fisher Information. | Sergey Pletenev, Daniil Moskovskiy, Viktoria Chekalina, Mikhail Seleznyov, Sergey Zagoruyko, Alexander Panchenko |
| 2023 | PACLIC | A Computational Study of Matrix Decomposition Methods for Compression of Pre-trained Transformers. | Sergey Pletenev, Viktoria Chekalina, Daniil Moskovskiy, Mikhail Seleznev, Sergey Zagoruyko, Alexander Panchenko |