Viacheslav Sinii

According to our database, Viacheslav Sinii authored at least 12 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

F-GRPO: Don't Let Your Policy Learn the Obvious and Forget the Rare.

Daniil Plyusov, Alexey Gorbatovski, Boris Shaposhnikov, Viacheslav Sinii, Alexey Malakhov, Daniil Gavrilov

CoRR, February, 2026

2025

Small Vectors, Big Effects: A Mechanistic Study of RL-Induced Reasoning via Steering Vectors.

Viacheslav Sinii, Nikita Balagansky, Gleb Gerasimov, Daniil Laptev, Yaroslav Aksenov, Vadim Kurochkin, Alexey Gorbatovski, Boris Shaposhnikov, Daniil Gavrilov

CoRR, September, 2025

Enhancing Vision-Language Model Training with Reinforcement Learning in Synthetic Worlds for Real-World Success.

George Bredis, Stanislav Dereka, Viacheslav Sinii, Ruslan Rakhimov, Daniil Gavrilov

CoRR, August, 2025

ESSA: Evolutionary Strategies for Scalable Alignment.

Daria Korotyshova, Boris Shaposhnikov, Alexey Malakhov, Nikita Surnachev, George Bredis, Alexey Gorbatovski, Viacheslav Sinii, Daniil Gavrilov

CoRR, July, 2025

You Do Not Fully Utilize Transformer's Representation Capacity.

Gleb Gerasimov, Yaroslav Aksenov, Nikita Balagansky, Viacheslav Sinii, Daniil Gavrilov

CoRR, February, 2025

The Differences Between Direct Alignment Algorithms are a Blur.

Alexey Gorbatovski, Boris Shaposhnikov, Viacheslav Sinii, Alexey Malakhov, Daniil Gavrilov

CoRR, February, 2025

Steering LLM Reasoning Through Bias-Only Adaptation.

Viacheslav Sinii, Alexey Gorbatovski, Artem Cherepanov, Boris Shaposhnikov, Nikita Balagansky, Daniil Gavrilov

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning.

Alexander Nikulin, Ilya Zisman, Alexey Zemtsov, Viacheslav Sinii, Vladislav Kurenkov, Sergey Kolesnikov

CoRR, 2024

XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX.

Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Artem Agarkov, Viacheslav Sinii, Sergey Kolesnikov

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Emergence of In-Context Reinforcement Learning from Noise Distillation.

Ilya Zisman, Vladislav Kurenkov, Alexander Nikulin, Viacheslav Sinii, Sergey Kolesnikov

Proceedings of the Forty-first International Conference on Machine Learning, 2024

In-Context Reinforcement Learning for Variable Action Spaces.

Viacheslav Sinii, Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Sergey Kolesnikov

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Understanding the Effectiveness of Cross-Domain Contrastive Unsupervised Domain Adaptation.

Viacheslav Sinii, Adín Ramírez Rivera, Adil Khan

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023