Daniil Larionov

According to our database, Daniil Larionov authored at least 14 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics.

Daniil Larionov, Mikhail Seleznyov, Vasiliy Viskov, Alexander Panchenko, Steffen Eger

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

NLLG Quarterly arXiv Report 09/23: What are the most influential current AI Papers?

Ran Zhang, Aida Kostikova, Christoph Leiter, Jonas Belouadi, Daniil Larionov, Yanran Chen, Vivian Fresen, Steffen Eger

CoRR, 2023

NLLG Quarterly arXiv Report 06/23: What are the most influential current AI Papers?

Steffen Eger, Christoph Leiter, Jonas Belouadi, Ran Zhang, Aida Kostikova, Daniil Larionov, Yanran Chen, Vivian Fresen

CoRR, 2023

ChatGPT: A Meta-Analysis after 2.5 Months.

Christoph Leiter, Ran Zhang, Yanran Chen, Jonas Belouadi, Daniil Larionov, Vivian Fresen, Steffen Eger

CoRR, 2023

Semantically-Informed Regressive Encoder Score.

Vasiliy Viskov, George Kokush, Daniil Larionov, Steffen Eger, Alexander Panchenko

Proceedings of the Eighth Conference on Machine Translation, 2023

Team NLLG submission for Eval4NLP 2023 Shared Task: Retrieval-Augmented In-Context Learning for NLG Evaluation.

Daniil Larionov, Vasiliy Viskov, George Kokush, Alexander Panchenko, Steffen Eger

Proceedings of the 4th Workshop on Evaluation and Comparison of NLP Systems, 2023

EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation Metrics.

Daniil Larionov, Jens Grünwald, Christoph Leiter, Steffen Eger

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Towards Computationally Feasible Deep Active Learning.

Akim Tsvigun, Artem Shelmanov, Gleb Kuzmin, Leonid Sanochkin, Daniil Larionov, Gleb Gusev, Manvel Avetisian, Leonid Zhukov

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

ALToolbox: A Set of Tools for Active Learning Annotation of Natural Language Texts.

Akim Tsvigun, Leonid Sanochkin, Daniil Larionov, Gleb Kuzmin, Artem Vazhentsev, Ivan Lazichny, Nikita Khromov, Danil Kireev, Aleksandr Rubashevskii, Olga Shahmatova

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

TITANIS: A Tool for Intelligent Text Analysis in Social Media.

Ivan V. Smirnov, Maksim Stankevich, Yulia Kuznetsova, Margarita Suvorova, Daniil Larionov, Elena Nikitina, Mikhail Savelov, Oleg G. Grigoriev

Proceedings of the Artificial Intelligence - 19th Russian Conference, 2021

Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates.

Artem Shelmanov, Dmitry Puzyrev, Lyubov Kupriyanova, Denis Belyakov, Daniil Larionov, Nikita Khromov, Olga Kozlova, Ekaterina Artemova, Dmitry V. Dylov, Alexander Panchenko

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2019

Semantic Role Labeling with Pretrained Language Models for Known and Unknown Predicates.

Daniil Larionov, Artem Shelmanov, Elena Chistova, Ivan V. Smirnov

Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019

2018

Discovering Novel Emergency Events in Text Streams.

Artem Shelmanov, Dmitriy Deviatkin, Daniil Larionov

Proceedings of the Selected Papers of the XX International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2018), 2018

Discovering, Classification, and Localization of Emergency Events via Analyzing of Social Network Text Streams.

Dmitriy Deviatkin, Artem Shelmanov, Daniil Larionov

Proceedings of the Data Analytics and Management in Data Intensive Domains, 2018