Journals
Books
Articles by keyword language models
Optimization of language models based on recurrent neural networks with momentum
D. I. Ozornin - Post-graduate Student, Yandex LLC, Moscow. E-mail: denioz.25@gmail.com
Overcoming linguistic barriers in code assistants: creating a Qlora adapter to improve support for russian-language code writing instructions

C.B. Pronin1, A.V. Volosova2, A.V. Ostroukh3, Yu.N. Strogov4

1, 3, 4 Moscow Automobile and Road Engineering State Technical University (MADI) (Moscow, Russia)
2 Bauman Moscow State Technical University (National Research University) (Moscow, Russia)
1 caesarpr12@gmail.com, 2 volosova@bmstu.ru, 3 ostroukh@mail.ru, 4 zelkame@gmail.com

An approach to the formation of intellectual academic genealogy using large language models

I.M. Lerner1, A.Kh. Marinosyan2, S.G. Grigoriev3, A.R. Yusupov4, M.A. Anikyeva5, G.A. Garifullina6

1 Kazan National Research Technical University named after A.N. Tupolev – KAI (Kazan, Russia)

2,3 Moscow City Pedagogical University (Moscow, Russia)

4 Bashkir State Pedagogical University named after M. Akmully (Ufa, Russia)

5 Siberian Federal University (Krasnoyarsk, Russia)

6 Kazan National Research Technological University (Kazan, Russia)

1 aviap@mail.ru, 2 marinos.andrey@yandex.ru, 3 grigorsg@yandex.ru, 4 azat.yusupov@bk.ru, 5 MAnikieva@sfu-kras.ru, 6 gulnarakdrv03@mail.ru

Application of large language models and machine translation technologies in health care

R.A. Kochkarov1, A.M. Poykalaynen2

1,2 Financial University under the Government of the Russian Federation (Moscow, Russia)

1 rkochkarov@fa.ru, 2 ampojkalajnen@fa.ru

Analysis of systems of information extraction from unstructured text documents

G.S. Ivanova1, P.A. Martynyuk2
1, 2 Bauman Moscow State Technical University (Moscow, Russia)

1 gsivanova@bmstu.ru, 2 martynyuk.pa@bmstu.ru

Mechanisms of emergence and suppression of factual distortions in autoregressive language models

V.O. Ivanov1
1 Military University of Radioelectronics (Cherepovets, Russia)

1 info@radiotec.ru

Automated preparation of educational material in an intelligent tutoring system

B.S. Ksemidov1, K.K. Abgaryan2

1 SC «SRI PI» (Moscow, Russia)
2 Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences (Moscow, Russia)
1 sokboriswork@yandex.com, 2 kristal83@mail.ru

Evolution of methods for extracting and structuring data from text to JSON and XML

N.N. Oltyan1

1 Financial university under the Government of the Russian Federation (Moscow, Russia)
1 nikitaoltyan@mail.ru

Methods for assessing the quality of experts in the verification of large language models

D. Teterevenkov1

1 Financial University under the Government of the Russian Federation (Moscow, Russia)
1 249453@edu.fa.ru

Development of a chatbot for question answering using knowledge graphs and retrieval-augmented generation

E.V. Romanova1, V.A. Malekova2, I.V. Menshikov3

1–3 University Financial University under the Government of the Russian Federation (Moscow, Russia)
1 ekvromanova@fa.ru, 2 vamalekova@fa.ru, 3 216900@edu.fa.ru

Exploring large language models for semantic classification of arguments of emotion predicates

D.S. Larionov1, E.N. Nikitina2, I.V. Smirnov3

1-3 Federal Research Center "Computer Science and Control" of the RAS (Moscow, Russia)

3 RUDN University (Moscow, Russia)

1 dslarionov@isa.ru, 2 yelenon@mail.ru, 3 ivs@isa.ru

Challenges of extracting bibliographies from academic publications

S.A. Krassotkin1

1 MIPT (Dolgoprudny, Russia)

1 Institute of Control Sciences RAS (Moscow, Russia)

1 krasotkin.sa@phystech.edu

An approach to automatic interpretation of spatial descriptions based on large language models

G.A. Galimov1, O.A. Nevzorova2

1, 2 Kazan Federal University (Kazan, Russia)

1 zxlx@mail.ru, 2 onevzoro@gmail.com

Seq2Seq approach and large language models for term extraction from russian scientific texts

K.K. Biderina1, D.I. Grebenkov2

1-2 Institute of Control Sciences RAS (Moscow, Russia)

1 kkbiderina@edu.hse.ru, 2 grebenkov-d-i@mail.ru

Using preliminary segmentation to increase the detail of semantic similarity measurement for scientific texts

M.S. Gavrilov1

1 V.A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences (Moscow, Russia)

1 cobraj@yandex.ru

Multimodel data processing method for solving multimodal video lecture processing task

M.E. Ismagulov1

1 Yugra State University (Khanty-Mansiysk, Russia)

1 m_ismagulov@ugrasu.ru