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ORCIDSergey Troshin 0001
Person information
- affiliation: University of Amsterdam, Language Technology Lab, The Netherlands
- affiliation: National Research University, Higher School of Economics, Moscow, Russia
Other persons with the same name
- Sergey Troshin 0002
![[0000-0001-5493-1773]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-5493-1773")
(aka: Sergey Mikhailovich Troshin) — National Research Centre "Kurchatov Institute", Moscow, Russia
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2020 – today
- 2026
[c6]Evgeniia Tokarchuk, Maya K. Nachesa, Sergey Troshin, Vlad Niculae:
Representation Collapse in Machine Translation Through the Lens of Angular Dispersion. EACL (Findings) 2026: 2420-2431- [i13]Evgeniia Tokarchuk, Maya K. Nachesa, Sergey Troshin, Vlad Niculae:
Representation Collapse in Machine Translation Through the Lens of Angular Dispersion. CoRR abs/2602.17287 (2026) - 2025
- [j3]Sergey Troshin, Vlad Niculae, Antske Fokkens:
On the Low-Rank Parametrization of Reward Models for Controlled Language Generation. Trans. Mach. Learn. Res. 2025 (2025) - [c5]Evgeniia Tokarchuk, Sergey Troshin, Vlad Niculae:
Angular Dispersion Accelerates k-Nearest Neighbors Machine Translation. EMNLP (Findings) 2025: 14120-14132 - [i12]Evgeniia Tokarchuk, Sergey Troshin, Vlad Niculae:
Angular Dispersion Accelerates k-Nearest Neighbors Machine Translation. CoRR abs/2509.16729 (2025) - [i11]Sergey Troshin, Irina Saparina, Antske Fokkens, Vlad Niculae:
Asking a Language Model for Diverse Responses. CoRR abs/2509.17570 (2025) - [i10]Sergey Troshin, Wafaa Mohammed, Yan Meng, Christof Monz, Antske Fokkens, Vlad Niculae:
Control the Temperature: Selective Sampling for Diverse and High-Quality LLM Outputs. CoRR abs/2510.01218 (2025) - 2024
- [j2]Evgeny Bobrov, Dmitry Kropotov, Sergey Troshin, Danila Zaev:
Study on precoding optimization algorithms in massive MIMO system with multi-antenna users. Optim. Methods Softw. 39(2): 282-297 (2024) - [i9]Sergey Troshin, Vlad Niculae, Antske Fokkens:
ARM: Efficient Guided Decoding with Autoregressive Reward Models. CoRR abs/2407.04615 (2024) - 2023
- [j1]Sergey Troshin, Vlad Niculae:
Wrapped β-Gaussians with compact support for exact probabilistic modeling on manifolds. Trans. Mach. Learn. Res. 2023 (2023) - [c4]Nadezhda Chirkova, Sergey Troshin:
CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code. ICLR 2023 - [i8]Loubna Ben Allal, Raymond Li, Denis Kocetkov, Chenghao Mou, Christopher Akiki, Carlos Muñoz Ferrandis, Niklas Muennighoff, Mayank Mishra, Alex Gu, Manan Dey, Logesh Kumar Umapathi, Carolyn Jane Anderson, Yangtian Zi, Joel Lamy-Poirier, Hailey Schoelkopf, Sergey Troshin, Dmitry Abulkhanov, Manuel Romero, Michael Lappert, Francesco De Toni, Bernardo García del Río, Qian Liu, Shamik Bose, Urvashi Bhattacharyya, Terry Yue Zhuo, Ian Yu, Paulo Villegas, Marco Zocca, Sourab Mangrulkar, David Lansky, Huu Nguyen, Danish Contractor, Luis Villa, Jia Li, Dzmitry Bahdanau, Yacine Jernite, Sean Hughes, Daniel Fried, Arjun Guha, Harm de Vries, Leandro von Werra:
SantaCoder: don't reach for the stars! CoRR abs/2301.03988 (2023) - [i7]Nadezhda Chirkova, Sergey Troshin:
CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code. CoRR abs/2308.00683 (2023) - 2022
- [c3]Sergey Troshin, Nadezhda Chirkova:
Probing Pretrained Models of Source Codes. BlackboxNLP@EMNLP 2022: 371-383 - [i6]Sergey Troshin, Nadezhda Chirkova:
Probing Pretrained Models of Source Code. CoRR abs/2202.08975 (2022) - 2021
- [c2]Nadezhda Chirkova, Sergey Troshin:
A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code. NAACL-HLT 2021: 278-288 - [c1]Nadezhda Chirkova, Sergey Troshin:
Empirical study of transformers for source code. ESEC/SIGSOFT FSE 2021: 703-715 - [i5]Evgeny Bobrov, Boris Chinyaev, Viktor Kuznetsov, Hao Lu, Dmitrii Minenkov, Sergey Troshin, Daniil Yudakov, Danila Zaev:
Adaptive Regularized Zero-Forcing Beamforming in Massive MIMO with Multi-Antenna Users. CoRR abs/2107.00853 (2021) - [i4]Evgeny Bobrov, Dmitry Kropotov, Sergey Troshin, Danila Zaev:
Finding Better Precoding in Massive MIMO using Optimization Approach. CoRR abs/2107.13440 (2021) - [i3]Evgeny Bobrov, Sergey Troshin, Nadezhda Chirkova, Ekaterina Lobacheva, Sviatoslav Panchenko, Dmitry P. Vetrov, Dmitry Kropotov:
Machine Learning Methods for Spectral Efficiency Prediction in Massive MIMO Systems. CoRR abs/2112.14423 (2021) - 2020
- [i2]Nadezhda Chirkova, Sergey Troshin:
Empirical Study of Transformers for Source Code. CoRR abs/2010.07987 (2020) - [i1]Nadezhda Chirkova, Sergey Troshin:
A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code. CoRR abs/2010.12663 (2020)
Coauthor Index
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