Sergey Troshin

22 papers A* 1Journal 16Unranked 5
YearRankTypeTitle / Venue / Authors
2026 — conf
Representation Collapse in Machine Translation Through the Lens of Angular Dispersion.
EACL (Findings)
Evgeniia Tokarchuk, Maya K. Nachesa, Sergey Troshin, Vlad Niculae
2026 J jnl
Representation Collapse in Machine Translation Through the Lens of Angular Dispersion.
CoRR
Evgeniia Tokarchuk, Maya K. Nachesa, Sergey Troshin, Vlad Niculae
2025 J jnl
Angular Dispersion Accelerates
CoRR
Evgeniia Tokarchuk, Sergey Troshin, Vlad Niculae
2025 — conf
Angular Dispersion Accelerates k-Nearest Neighbors Machine Translation.
EMNLP (Findings)
Evgeniia Tokarchuk, Sergey Troshin, Vlad Niculae
2025 J jnl
Asking a Language Model for Diverse Responses.
CoRR
Sergey Troshin, Irina Saparina, Antske Fokkens, Vlad Niculae
2025 J jnl
Control the Temperature: Selective Sampling for Diverse and High-Quality LLM Outputs.
CoRR
Sergey Troshin, Wafaa Mohammed, Yan Meng, Christof Monz, Antske Fokkens, Vlad Niculae
2025 J jnl
On the Low-Rank Parametrization of Reward Models for Controlled Language Generation.
Trans. Mach. Learn. Res.
Sergey Troshin, Vlad Niculae, Antske Fokkens
2024 J jnl
ARM: Efficient Guided Decoding with Autoregressive Reward Models.
CoRR
Sergey Troshin, Vlad Niculae, Antske Fokkens
2024 J jnl
Study on precoding optimization algorithms in massive MIMO system with multi-antenna users.
Optim. Methods Softw.
Evgeny Bobrov, Dmitry Kropotov, Sergey Troshin, Danila Zaev
2023 A* conf
CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code.
ICLR
Nadezhda Chirkova, Sergey Troshin
2023 J jnl
CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code.
CoRR
Nadezhda Chirkova, Sergey Troshin
2023 J jnl
SantaCoder: don't reach for the stars!
CoRR
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
2023 J jnl
Wrapped β-Gaussians with compact support for exact probabilistic modeling on manifolds.
Trans. Mach. Learn. Res.
Sergey Troshin, Vlad Niculae
2022 J jnl
Probing Pretrained Models of Source Code.
CoRR
Sergey Troshin, Nadezhda Chirkova
2022 — conf
Probing Pretrained Models of Source Codes.
BlackboxNLP@EMNLP
Sergey Troshin, Nadezhda Chirkova
2021 — conf
A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code.
NAACL-HLT
Nadezhda Chirkova, Sergey Troshin
2021 J jnl
Adaptive Regularized Zero-Forcing Beamforming in Massive MIMO with Multi-Antenna Users.
CoRR
Evgeny Bobrov, Boris Chinyaev, Viktor Kuznetsov, Hao Lu, Dmitrii Minenkov, Sergey Troshin, Daniil Yudakov, Danila Zaev
2021 — conf
Empirical study of transformers for source code.
ESEC/SIGSOFT FSE
Nadezhda Chirkova, Sergey Troshin
2021 J jnl
Finding Better Precoding in Massive MIMO using Optimization Approach.
CoRR
Evgeny Bobrov, Dmitry Kropotov, Sergey Troshin, Danila Zaev
2021 J jnl
Machine Learning Methods for Spectral Efficiency Prediction in Massive MIMO Systems.
CoRR
Evgeny Bobrov, Sergey Troshin, Nadezhda Chirkova, Ekaterina Lobacheva, Sviatoslav Panchenko, Dmitry P. Vetrov, Dmitry Kropotov
2020 J jnl
A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code.
CoRR
Nadezhda Chirkova, Sergey Troshin
2020 J jnl
Empirical Study of Transformers for Source Code.
CoRR
Nadezhda Chirkova, Sergey Troshin