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Anastasia Voznyuk

3 accepted papers

2025

Feature-Level Insights into Artificial Text Detection with Sparse Autoencoders

ACL 2025finding

Artificial Text Detection (ATD) is becoming increasingly important with the rise of advanced Large Language Models (LLMs). Despite numerous efforts, no single algorithm performs consistently well across different types of unseen text or guarantees effective generalization to new LLMs. Interpretabili…

2025

Quantifying Logical Consistency in Transformers via Query-Key Alignment

EMNLP 2025

Large language models (LLMs) excel at many NLP tasks, yet their multi-step logical reasoning remains unreliable. Existing solutions such as Chain-of-Thought prompting generate intermediate steps but provide no internal check of their logical coherence. In this paper, we use the “QK-score”, a lightwe

Cited by 0SourcePDFScholar
2024

DeepPavlov 1.0: Your Gateway to Advanced NLP Models Backed by Transformers and Transfer Learning

EMNLP 2024system demonstrations

We present DeepPavlov 1.0, an open-source framework for using Natural Language Processing (NLP) models by leveraging transfer learning techniques. DeepPavlov 1.0 is created for modular and configuration-driven development of state-of-the-art NLP models and supports a wide range of NLP model applicat…