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Sergey Pletenev

Sergey Pletenev has 2 papers in our library, in 2025–2026, most of them on Information retrieval & search; often with Alexander Panchenko, Maria Marina, Mikhail Salnikov.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 3 · 26 works · 20 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 21 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #9031

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓École Polytechnique Fédérale de LausanneLausanne · Switzerland2025–2026 · 5 paperscurrent🎓Skolkovo Institute of Science and TechnologySkolkovo · Russia2024–2025 · 4 papers🤝AIRI - Artificial Intelligence Research InstituteMoscow · Russia2024–2025 · 3 papers🎓National Research University Higher School of EconomicsMoscow · Russia2022–2024 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksCognitive Neuroscience · 1 workExperimental and Cognitive Psychology · 1 workNeuroscience · 1 workPhilosophy · 1 workPsychology · 1 workArtificial Intelligence · 1 workComputer Science · 1 workLanguage and Linguistics · 1 work

🧭 Topics 1Research subjects and languages the work is about.Information retrieval & search · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home (2025 · 21 citations)
    Adaptive retrieval lets an LLM decide for each question whether it needs external documents. The goal is to keep the accuracy benefits of RAG without paying for retrieval that is unnecessary or even misleading. Recent pipelines for this task are usually judged on answer quality and retrieval counts. They rarely…
  2. Boosting Self-Consistency with Ranking (2026)
    Self-consistency samples several reasoning chains from an LLM and picks the most frequent answer. The correct answer is often among the samples but loses the vote, leaving a wide gap to oracle selection. The authors propose RISC (Ranking-Improved Self-Consistency), which treats choosing the final answer as a…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back HomeAnnual Meeting of the Association for Computational Linguistics (ACL)Viktor Moskvoretskii, Maria Marina, Mikhail Salnikov, et al.2025 · 21 citations
  2. LLMs to Replace Crowdsourcing For Parallel Data Creation? The Case of Text Detoxification ↗Findings of the Association for Computational Linguistics: EMNLP 2024 · no summary yetDaniil Moskovskiy, Sergey Pletenev, Alexander Panchenko2024 · 11 citations
  3. Boosting Self-Consistency with RankingAnnual Meeting of the Association for Computational Linguistics (ACL)Maria Marina, Daniil Moskovskiy, Sergey Pletenev, et al.2026

 Co-authors here

9 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 21 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/sergey-pletenev/