Search Results for author: Valeriya Goloviznina

Found 3 papers, 0 papers with code

I've got the "Answer"! Interpretation of LLMs Hidden States in Question Answering

no code implementations4 Jun 2024 Valeriya Goloviznina, Evgeny Kotelnikov

Interpretability and explainability of AI are becoming increasingly important in light of the rapid development of large language models (LLMs).

Question Answering

Automatic Summarization of Russian Texts: Comparison of Extractive and Abstractive Methods

no code implementations18 Jun 2022 Valeriya Goloviznina, Evgeny Kotelnikov

The key problem of the argument text generation for the Russian language is the lack of annotated argumentation corpora.

Text Generation

Traditional Machine Learning and Deep Learning Models for Argumentation Mining in Russian Texts

no code implementations28 Jun 2021 Irina Fishcheva, Valeriya Goloviznina, Evgeny Kotelnikov

Argumentation mining is a field of computational linguistics that is devoted to extracting from texts and classifying arguments and relations between them, as well as constructing an argumentative structure.

BIG-bench Machine Learning Machine Translation +1

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