Papers by Anastasia Voznyuk
DeepPavlov 1.0: Your Gateway to Advanced NLP Models Backed by Transformers and Transfer Learning (2024.emnlp-demo)
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Maksim Savkin, Anastasia Voznyuk, Fedor Ignatov, Anna Korzanova, Dmitry Karpov, Alexander Popov, Vasily Konovalov
| Challenge: | Open-source framework for using NLP models is released for non-experts . complexity of building, fine-tuning and deploying state-of-the-art models remains a barrier . |
| Approach: | They present DeepPavlov 1.0, an open-source framework for using NLP models . the framework is based on PyTorch and supports HuggingFace transformers . |
| Outcome: | The DeepPavlov 1.0 framework is designed for practitioners with limited knowledge of NLP/ML. |
Feature-Level Insights into Artificial Text Detection with Sparse Autoencoders (2025.findings-acl)
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Kristian Kuznetsov, Laida Kushnareva, Anton Razzhigaev, Polina Druzhinina, Anastasia Voznyuk, Irina Piontkovskaya, Evgeny Burnaev, Serguei Barannikov
| Challenge: | Existing algorithms for AI text detection lack interpretability, limiting their reliability in highstakes applications. |
| Approach: | They extend existing ATD frameworks by using Sparse Autoencoders to extract features from Gemma-2-2b residual stream. |
| Outcome: | The proposed algorithms can extract human-interpretable features from Gemma-2-2b model. |
Quantifying Logical Consistency in Transformers via Query-Key Alignment (2025.emnlp-main)
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Eduard Tulchinskii, Laida Kushnareva, Anastasia Voznyuk, Andrei Andriiainen, Irina Piontkovskaya, Evgeny Burnaev, Serguei Barannikov
| Challenge: | Existing solutions for multi-step logical reasoning are unreliable . Existing methods generate intermediate steps but provide no internal check of coherence . |
| Approach: | They propose a method that uses internal Query-Key interactions within transformer attention heads as a proxy for logical consistency. |
| Outcome: | The proposed method reveals latent reasoning structure in large language models and provides a mechanistic alternative to ablation-based analysis. |