Sergey Troshin

Orcid: 0000-0002-8439-390X

Affiliations:
  • University of Amsterdam, Language Technology Lab, The Netherlands
  • National Research University, Higher School of Economics, Moscow, Russia


According to our database1, Sergey Troshin authored at least 18 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Representation Collapse in Machine Translation Through the Lens of Angular Dispersion.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025
Control the Temperature: Selective Sampling for Diverse and High-Quality LLM Outputs.
CoRR, October, 2025

Asking a Language Model for Diverse Responses.
CoRR, September, 2025

Angular Dispersion Accelerates <i>k</i>-Nearest Neighbors Machine Translation.
CoRR, September, 2025

On the Low-Rank Parametrization of Reward Models for Controlled Language Generation.
Trans. Mach. Learn. Res., 2025

Angular Dispersion Accelerates k-Nearest Neighbors Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024
Study on precoding optimization algorithms in massive MIMO system with multi-antenna users.
Optim. Methods Softw., 2024

ARM: Efficient Guided Decoding with Autoregressive Reward Models.
CoRR, 2024

2023
Wrapped β-Gaussians with compact support for exact probabilistic modeling on manifolds.
Trans. Mach. Learn. Res., 2023

SantaCoder: don't reach for the stars!
CoRR, 2023

CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Probing Pretrained Models of Source Code.
CoRR, 2022

Probing Pretrained Models of Source Codes.
Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022

2021
Machine Learning Methods for Spectral Efficiency Prediction in Massive MIMO Systems.
CoRR, 2021

Finding Better Precoding in Massive MIMO using Optimization Approach.
CoRR, 2021

Adaptive Regularized Zero-Forcing Beamforming in Massive MIMO with Multi-Antenna Users.
CoRR, 2021

Empirical study of transformers for source code.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021


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