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Viacheslav Sinii
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2020 – today
- 2025
[c5]Viacheslav Sinii, Alexey Gorbatovski, Artem Cherepanov, Boris Shaposhnikov, Nikita Balagansky, Daniil Gavrilov:
Steering LLM Reasoning Through Bias-Only Adaptation. EMNLP 2025: 9202-9211
[i10]Alexey Gorbatovski, Boris Shaposhnikov, Viacheslav Sinii, Alexey Malakhov, Daniil Gavrilov:
The Differences Between Direct Alignment Algorithms are a Blur. CoRR abs/2502.01237 (2025)
[i9]Gleb Gerasimov, Yaroslav Aksenov, Nikita Balagansky, Viacheslav Sinii, Daniil Gavrilov:
You Do Not Fully Utilize Transformer's Representation Capacity. CoRR abs/2502.09245 (2025)
[i8]Viacheslav Sinii, Alexey Gorbatovski, Artem Cherepanov, Boris Shaposhnikov, Nikita Balagansky, Daniil Gavrilov:
Steering LLM Reasoning Through Bias-Only Adaptation. CoRR abs/2505.18706 (2025)
[i7]Daria Korotyshova, Boris Shaposhnikov, Alexey Malakhov, Nikita Surnachev, George Bredis, Alexey Gorbatovski, Viacheslav Sinii, Daniil Gavrilov:
ESSA: Evolutionary Strategies for Scalable Alignment. CoRR abs/2507.04453 (2025)
[i6]George Bredis, Stanislav Dereka, Viacheslav Sinii, Ruslan Rakhimov, Daniil Gavrilov:
Enhancing Vision-Language Model Training with Reinforcement Learning in Synthetic Worlds for Real-World Success. CoRR abs/2508.04280 (2025)
[i5]Viacheslav Sinii, Nikita Balagansky, Gleb Gerasimov, Daniil Laptev, Yaroslav Aksenov, Vadim Kurochkin, Alexey Gorbatovski, Boris Shaposhnikov, Daniil Gavrilov:
Small Vectors, Big Effects: A Mechanistic Study of RL-Induced Reasoning via Steering Vectors. CoRR abs/2509.06608 (2025)- 2024
[c4]Viacheslav Sinii, Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Sergey Kolesnikov:
In-Context Reinforcement Learning for Variable Action Spaces. ICML 2024: 45773-45793
[c3]Ilya Zisman, Vladislav Kurenkov, Alexander Nikulin, Viacheslav Sinii, Sergey Kolesnikov:
Emergence of In-Context Reinforcement Learning from Noise Distillation. ICML 2024: 62832-62846
[c2]Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Artem Agarkov, Viacheslav Sinii, Sergey Kolesnikov:
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX. NeurIPS 2024
[i4]Alexander Nikulin, Ilya Zisman, Alexey Zemtsov, Viacheslav Sinii, Vladislav Kurenkov, Sergey Kolesnikov:
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning. CoRR abs/2406.08973 (2024)- 2023
[c1]Viacheslav Sinii, Adín Ramírez Rivera, Adil Khan:
Understanding the Effectiveness of Cross-Domain Contrastive Unsupervised Domain Adaptation. Tiny Papers @ ICLR 2023
[i3]Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Artem Agarkov, Viacheslav Sinii, Sergey Kolesnikov:
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX. CoRR abs/2312.12044 (2023)
[i2]Ilya Zisman, Vladislav Kurenkov, Alexander Nikulin, Viacheslav Sinii, Sergey Kolesnikov:
Emergence of In-Context Reinforcement Learning from Noise Distillation. CoRR abs/2312.12275 (2023)
[i1]Viacheslav Sinii, Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Sergey Kolesnikov:
In-Context Reinforcement Learning for Variable Action Spaces. CoRR abs/2312.13327 (2023)
Coauthor Index

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