output
20072026
most citedCatBoost: unbiased boosting with categorical features

1.1k citations

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cs.CL2024★ 15 cited

Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph

Roman Vashurin, Ekaterina Fadeeva, Artem Vazhentsev +12

The rapid proliferation of large language models (LLMs) has stimulated researchers to seek effective and efficient approaches to deal with LLM hallucinations and low-quality output…

cs.CL2022★ 19 cited

RuCoLA: Russian Corpus of Linguistic Acceptability

Vladislav Mikhailov, Tatiana Shamardina, Max Ryabinin +3

Linguistic acceptability (LA) attracts the attention of the research community due to its many uses, such as testing the grammatical knowledge of language models and filtering impl…

cs.CL2021★ 18 cited

Fine-Tuning Transformers: Vocabulary Transfer

Vladislav Mosin, Igor Samenko, Alexey Tikhonov +2

Transformers are responsible for the vast majority of recent advances in natural language processing. The majority of practical natural language processing applications of these mo…

cs.CL2021★ 6 cited

Do Data-based Curricula Work?

Maxim K. Surkov, Vladislav D. Mosin, Ivan P. Yamshchikov

Current state-of-the-art NLP systems use large neural networks that require lots of computational resources for training. Inspired by human knowledge acquisition, researchers have…

cs.CL2021★ 8 cited

StoryDB: Broad Multi-language Narrative Dataset

Alexey Tikhonov, Igor Samenko, Ivan P. Yamshchikov

This paper presents StoryDB - a broad multi-language dataset of narratives. StoryDB is a corpus of texts that includes stories in 42 different languages. Every language includes 50…

cs.CL2021★ 4 cited

DYPLODOC: Dynamic Plots for Document Classification

Anastasia Malysheva, Alexey Tikhonov, Ivan P. Yamshchikov

Narrative generation and analysis are still on the fringe of modern natural language processing yet are crucial in a variety of applications. This paper proposes a feature extracti…