T-pro 2.0: An Efficient Russian Hybrid-Reasoning Model and Playground Paper • 2512.10430 • Published 13 days ago • 112
T-pro 2.0: An Efficient Russian Hybrid-Reasoning Model and Playground Paper • 2512.10430 • Published 13 days ago • 112
Enhancing Vision-Language Model Training with Reinforcement Learning in Synthetic Worlds for Real-World Success Paper • 2508.04280 • Published Aug 6 • 35
MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Paper • 2504.13835 • Published Apr 18 • 38