Daniil Larionov

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 16

Top Topics

Reveal Interesting

Active Learning

Computationally Feasible

Top Venues

NAACL-HLT (Findings)

Publications

Daniil Larionov, Mikhail Seleznyov, Vasiliy Viskov, Alexander Panchenko, Steffen Eger
xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics. CoRR (2024)
Steffen Eger, Christoph Leiter, Jonas Belouadi, Ran Zhang, Aida Kostikova, Daniil Larionov, Yanran Chen, Vivian Fresen
NLLG Quarterly arXiv Report 06/23: What are the most influential current AI Papers? CoRR (2023)
Christoph Leiter, Ran Zhang, Yanran Chen, Jonas Belouadi, Daniil Larionov, Vivian Fresen, Steffen Eger
ChatGPT: A Meta-Analysis after 2.5 Months. CoRR (2023)
Ran Zhang, Aida Kostikova, Christoph Leiter, Jonas Belouadi, Daniil Larionov, Yanran Chen, Vivian Fresen, Steffen Eger
NLLG Quarterly arXiv Report 09/23: What are the most influential current AI Papers? CoRR (2023)
Daniil Larionov, Vasiliy Viskov, George Kokush, Alexander Panchenko, Steffen Eger
Team NLLG submission for Eval4NLP 2023 Shared Task: Retrieval-Augmented In-Context Learning for NLG Evaluation. Eval4NLP (2023)
Daniil Larionov, Jens Grünwald, Christoph Leiter, Steffen Eger
EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation Metrics. EMNLP (Findings) (2023)
Vasiliy Viskov, George Kokush, Daniil Larionov, Steffen Eger, Alexander Panchenko
Semantically-Informed Regressive Encoder Score. WMT (2023)
Akim Tsvigun, Artem Shelmanov, Gleb Kuzmin, Leonid Sanochkin, Daniil Larionov, Gleb Gusev, Manvel Avetisian, Leonid Zhukov
Towards Computationally Feasible Deep Active Learning. NAACL-HLT (Findings) (2022)
Akim Tsvigun, Artem Shelmanov, Gleb Kuzmin, Leonid Sanochkin, Daniil Larionov, Gleb Gusev, Manvel Avetisian, Leonid Zhukov
Towards Computationally Feasible Deep Active Learning. CoRR (2022)
Akim Tsvigun, Leonid Sanochkin, Daniil Larionov, Gleb Kuzmin, Artem Vazhentsev, Ivan Lazichny, Nikita Khromov, Danil Kireev, Aleksandr Rubashevskii, Olga Shahmatova
ALToolbox: A Set of Tools for Active Learning Annotation of Natural Language Texts. EMNLP (Demos) (2022)
Ivan V. Smirnov, Maksim Stankevich, Yulia Kuznetsova, Margarita Suvorova, Daniil Larionov, Elena Nikitina, Mikhail Savelov, Oleg Grigoriev
TITANIS: A Tool for Intelligent Text Analysis in Social Media. RCAI (2021)
Artem Shelmanov, Dmitry Puzyrev, Lyubov Kupriyanova, Denis Belyakov, Daniil Larionov, Nikita Khromov, Olga Kozlova, Ekaterina Artemova, Dmitry V. Dylov, Alexander Panchenko
Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates. CoRR (2021)
Artem Shelmanov, Dmitry Puzyrev, Lyubov Kupriyanova, Denis Belyakov, Daniil Larionov, Nikita Khromov, Olga Kozlova, Ekaterina Artemova, Dmitry V. Dylov, Alexander Panchenko
Active Learning for Sequence Tagging with Deep Pre-trained Models and Bayesian Uncertainty Estimates. EACL (2021)
Daniil Larionov, Artem Shelmanov, Elena Chistova, Ivan V. Smirnov
Semantic Role Labeling with Pretrained Language Models for Known and Unknown Predicates. RANLP (2019)
Artem Shelmanov, Dmitriy Deviatkin, Daniil Larionov
Discovering Novel Emergency Events in Text Streams. DAMDID/RCDL (2018)
Dmitriy Deviatkin, Artem Shelmanov, Daniil Larionov
Discovering, Classification, and Localization of Emergency Events via Analyzing of Social Network Text Streams. DAMDID/RCDL (Selected Papers) (2018)