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Artem Shelmanov

Artem Shelmanov has 2 papers in our library, in 2024–2025, most of them on Semitic languages; often with Alexander Panchenko, Ekaterina Fadeeva, Hamdy Mubarak.

2 papers in our library · 2024–2025

OpenAlex · ORCID · h-index 16 · 92 works · 827 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 281 citations in our library · 9 more in our library without a page yet · ⭐ Paper Star rank #5100

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification (2024 · 95 citations)
    LLMs often slip false statements into otherwise accurate text, and readers rarely notice them. The authors propose a fact-checking pipeline that needs no external knowledge base. The output is split into atomic claims (as in FactScore, via the OpenAI Chat API), and each claim is aligned with its tokens. Token-level…
  2. Uncertainty-driven Partial Diacritization for Arabic Text (2025 · 1 citation)
    Full diacritization makes Arabic text dense, so the paper asks which diacritics to keep and which to drop.

All works

11 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. M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection (original ↗)Yuxia Wang et al.2023 · arXiv:2305.14902 · 106 citations · no summary yet
  2. LM-Polygraph: Uncertainty Estimation for Language Models (original ↗)Ekaterina Fadeeva et al.2023 · arXiv:2311.07383 · 55 citations · no summary yet
  3. Token-Level Density-Based Uncertainty Quantification Methods for Eliciting Truthfulness of Large Language Models (original ↗)Artem Vazhentsev et al.2025 · Proceedings of the 2025 Conference of the… · 13 citations · no summary yet
  4. Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models (original ↗)Artem Vazhentsev et al.2025 · Proceedings of the 2025 Conference on Empirical… · 10 citations · no summary yet
  5. Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI (original ↗)Yuxia Wang et al.2026 · Proceedings of the 64th Annual Meeting of the… · 5 citations · no summary yet
  6. ReProbe: Efficient Test-Time Scaling of Multi-Step Reasoning by Probing Internal States of Large Language Models (original ↗)Jingwei Ni et al.2026 · Proceedings of the 64th Annual Meeting of the… · 1 citation · no summary yet
  7. Uncertainty-driven Partial Diacritization for Arabic TextHumaid Ali Alblooshi, Artem Shelmanov, Hanan AldarmakiSemitic languages · 1 citation
  8. Argument-Based Comparative Question Answering Evaluation Benchmark (original ↗)Irina Nikishina et al.2026 · Proceedings of the 13th Workshop on Argument… · no summary yet
  9. Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling (original ↗)Ivan Rodkin et al.2026 · Findings of the Association for Computational… · no summary yet
  10. ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM Reasoning (original ↗)Vladislav Smirnov et al.2026 · Proceedings of the 64th Annual Meeting of the… · no summary yet

 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 281 times (of the 141,840 papers whose bibliographies we read); 8 citing papers with a page here →.

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