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Alexander Tselousov

dblp:245/8763 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0003-3592-8271ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Language models and text generation · 67% Question answering and dialogue systems · 33%
Computer graphics and multimedia
1 paper
Rendering · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Rendering › non-photorealistic rendering
artistic rendering
0.912025
YaART: Yet Another ART Rendering Technology · KDD (1) 2025
Natural language and speech › Question answering and dialogue systems
open-domain dialogue
0.412019
Large-Scale Transfer Learning for Natural Language Generation · ACL (1) 2019
Natural language and speech › Language models and text generation › large language model › large language model adaptation
pre-trained language model fine-tuning
0.412019
Large-Scale Transfer Learning for Natural Language Generation · ACL (1) 2019
Natural language and speech › Language models and text generation
text generation
0.412019
Large-Scale Transfer Learning for Natural Language Generation · ACL (1) 2019

Methods — techniques the papers use, named apart from their topics

transfer learning · 0.4pre-trained language model · 0.4
YearPublicationVenuePosition
2025 YaART: Yet Another ART Rendering Technology
Sergey Kastryulin, Artem Konev, Alexander Shishenya, Eugene Lyapustin, Artem Khurshudov, Alexander Tselousov, Nikita Vinokurov, Denis Kuznedelev, Alexander Markovich, Grigoriy Livshits, Alexey Kirillov, Anastasiia Tabisheva, Liubov Chubarova, Marina Kaminskaia, Alexander Ustyuzhanin, Artemii Shvetsov, Daniil Shlenskii, Valerii Startsev, Dmitrii Kornilov, Mikhail Romanov, Dmitry Baranchuk, Artem Babenko, Sergei Ovcharenko, Valentin Khrulkov
KDD (1)6
2019 Large-Scale Transfer Learning for Natural Language Generation
abstract
Large-scale pretrained language models define state of the art in natural language processing, achieving outstanding performance on a variety of tasks.We study how these architectures can be applied and adapted for natural language generation, comparing a number of architectural and training schemes.We focus in particular on open-domain dialog as a typical high entropy generation task, presenting and comparing different architectures for adapting pretrained models with state of the art results.
Sergey Golovanov, Rauf Kurbanov, Sergey I. Nikolenko, Kyryl Truskovskyi, Alexander Tselousov, Thomas Wolf 0008
ACL (1)5