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Grigori Sidorov

Grigori Sidorov has 3 papers in our library, in 2025–2026, most of them on Sentiment & emotion, Language models & pretraining, Evaluation & benchmarks; often with Olga Kolesnikova, Abinew Ali Ayele, Dietrich Klakow.

3 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 31 · 417 works · 4,120 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 68 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #7520

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

🎓Instituto Politécnico NacionalMexico City · Mexico1999–2026 · 319 papersEmploymentcurrent🎓National Polytechnic SchoolQuito · Ecuador2023–2026 · 6 paperscurrent🎓Benemérita Universidad Autónoma de PueblaPuebla City · Mexico2015–2016 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksComputer Science · 3 worksArts and Humanities · 2 worksExperimental and Cognitive Psychology · 2 worksLanguage and Linguistics · 2 worksPsychology · 2 worksSignal Processing · 1 work

🧭 Topics 4Research subjects and languages the work is about.English · 1 workSentiment & emotion · 2 worksEvaluation & benchmarks · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20261 paper20252 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Evaluating the Capabilities of Large Language Models for Multi-label Emotion Understanding (2025 · 52 citations)
    LLM evaluation has paid little attention to multi-label emotion detection, where one text can carry several emotions at once, and even less to languages other than English.
  2. CIC-NLP at GenAI Detection Task 1: Leveraging DistilBERT for Detecting Machine-Generated Text in English (2025 · 9 citations)
    The CIC-NLP team took part in Subtask A of Task 1 at the GenAI Content Detection workshop (COLING 2025). The task is a binary decision: was an English text written by a person or produced by an LLM? The organizers supplied a large corpus drawn from many human and machine sources. It has 610,767 training texts (about…
  3. Speech-Based Emotion Recognition and Classification Integrating a CNN and BiLSTM Network (2026)
    This paper addresses speech emotion recognition (SER). The task is hard because speech varies across speakers, and some emotions sound acoustically alike, such as neutral vs. calm or happy vs. surprise. The authors propose a hybrid architecture. Convolutional layers extract local spectral patterns from log…

All works

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

  1. Evaluating the Capabilities of Large Language Models for Multi-label Emotion UnderstandingInternational Conference on Computational Linguistics (COLING)Tadesse Destaw Belay, Israel Abebe Azime, Abinew Ali Ayele, et al.2025 · 52 citations
  2. Rule-based System for Automatic Grammar Correction Using Syntactic N-grams for English Language Learning (L2) ↗Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task · no summary yetGrigori Sidorov et al.2013 · 34 citations
  3. Word Sense Disambiguation in a Spanish Explanatory Dictionary ↗Actes de la 8ème conférence sur le Traitement Automatique des Langues Naturelles. Posters · no summary yetGrigori Sidorov, Alexander Gelbukh2001 · 11 citations
  4. CIC-NLP at GenAI Detection Task 1: Leveraging DistilBERT for Detecting Machine-Generated Text in English1stWorkshop on GenAI Content Detection (GenAIDetect)Tolulope Olalekan Abiola, Tewodros Achamaleh Bizuneh, Oluwatobi Joseph Abiola, et al.2025 · 9 citations
  5. Speech-Based Emotion Recognition and Classification Integrating a CNN and BiLSTM NetworkComputational Affective Science (CAS) @ LRECFatima Uroosa, Asim Abbas, Muhammad Tayyab Zamir, et al.2026

 Co-authors here

8 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 68 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

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