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ORCIDDaniil Larionov
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2020 – today
- 2024
[c11]Daniil Larionov, Mikhail Seleznyov, Vasiliy Viskov, Alexander Panchenko, Steffen Eger:
xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics. EMNLP 2024: 21934-21949- [i6]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 abs/2406.14553 (2024) - 2023
- [c10]Daniil Larionov, Jens Grünwald, Christoph Leiter, Steffen Eger:
EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation Metrics. EMNLP (Findings) 2023: 78-96 - [c9]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: 228-234 - [c8]Vasiliy Viskov, George Kokush, Daniil Larionov, Steffen Eger, Alexander Panchenko:
Semantically-Informed Regressive Encoder Score. WMT 2023: 815-821 - [i5]Christoph Leiter
, Ran Zhang, Yanran Chen, Jonas Belouadi, Daniil Larionov, Vivian Fresen, Steffen Eger:
ChatGPT: A Meta-Analysis after 2.5 Months. CoRR abs/2302.13795 (2023) - [i4]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 abs/2308.04889 (2023) - [i3]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 abs/2312.05688 (2023) - 2022
- [c7]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: 406-434 - [c6]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: 1198-1218 - [i2]Akim Tsvigun, Artem Shelmanov, Gleb Kuzmin, Leonid Sanochkin, Daniil Larionov, Gleb Gusev, Manvel Avetisian, Leonid Zhukov:
Towards Computationally Feasible Deep Active Learning. CoRR abs/2205.03598 (2022) - 2021
- [c5]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: 1698-1712 - [c4]Ivan V. Smirnov, Maksim Stankevich, Yulia Kuznetsova, Margarita Suvorova, Daniil Larionov, Elena Nikitina, Mikhail Savelov, Oleg G. Grigoriev:
TITANIS: A Tool for Intelligent Text Analysis in Social Media. RCAI 2021: 232-247 - [i1]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 abs/2101.08133 (2021)
2010 – 2019
- 2019
- [c3]Daniil Larionov, Artem Shelmanov, Elena Chistova, Ivan V. Smirnov:
Semantic Role Labeling with Pretrained Language Models for Known and Unknown Predicates. RANLP 2019: 619-628 - 2018
- [c2]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: 180-196 - [c1]Artem Shelmanov, Dmitriy Deviatkin, Daniil Larionov:
Discovering Novel Emergency Events in Text Streams. DAMDID/RCDL 2018: 208-215
Coauthor Index
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