Papers by Katerina Kolomeytseva
A Methodology for Generative Spelling Correction via Natural Spelling Errors Emulation across Multiple Domains and Languages (2024.findings-eacl)
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Nikita Martynov, Mark Baushenko, Anastasia Kozlova, Katerina Kolomeytseva, Aleksandr Abramov, Alena Fenogenova
| Challenge: | Recent advances in large language models have shown impressive text generation and language understanding capabilities, evident in benchmarks like SuperGLUE, GEM, BigBench etc. |
| Approach: | They propose a method for generative spelling correction that can be extended to any language with minor changes. |
| Outcome: | The proposed method can be extended to any language with minor changes, and is based on a set of generative models with a single-domain and multi-domain test sets. |
MERA: A Comprehensive LLM Evaluation in Russian (2024.acl-long)
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Alena Fenogenova, Artem Chervyakov, Nikita Martynov, Anastasia Kozlova, Maria Tikhonova, Albina Akhmetgareeva, Anton Emelyanov, Denis Shevelev, Pavel Lebedev, Leonid Sinev, Ulyana Isaeva, Katerina Kolomeytseva, Daniil Moskovskiy, Elizaveta Goncharova, Nikita Savushkin, Polina Mikhailova, Anastasia Minaeva, Denis Dimitrov, Alexander Panchenko, Sergey Markov
| Challenge: | Recent advances in foundation models have led to the emergence of powerful Large Language Models (LLMs), which showcase unprecedented tasksolving capabilities. |
| Approach: | They propose a method to evaluate FMs and LMs in fixed zero- and few-shot instruction settings that can be extended to other modalities. |
| Outcome: | The proposed evaluation methodology includes an open-source code base and a leaderboard with a submission system. |