Skill-SD: Skill-Conditioned Self-Distillation for Multi-turn LLM Agents Paper • 2604.10674 • Published Apr 12 • 2
F-GRPO: Don't Let Your Policy Learn the Obvious and Forget the Rare Paper • 2602.06717 • Published Feb 6 • 76
T-pro 2.0: An Efficient Russian Hybrid-Reasoning Model and Playground Paper • 2512.10430 • Published Dec 11, 2025 • 121
Enhancing Vision-Language Model Training with Reinforcement Learning in Synthetic Worlds for Real-World Success Paper • 2508.04280 • Published Aug 6, 2025 • 35
OpenThoughts: Data Recipes for Reasoning Models Paper • 2506.04178 • Published Jun 4, 2025 • 56
MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space Paper • 2504.13835 • Published Apr 18, 2025 • 39
CrowdSelect: Synthetic Instruction Data Selection with Multi-LLM Wisdom Paper • 2503.01836 • Published Mar 3, 2025 • 16
System Message Generation for User Preferences using Open-Source Models Paper • 2502.11330 • Published Feb 17, 2025 • 15
Analyze Feature Flow to Enhance Interpretation and Steering in Language Models Paper • 2502.03032 • Published Feb 5, 2025 • 59
How to Synthesize Text Data without Model Collapse? Paper • 2412.14689 • Published Dec 19, 2024 • 52
The Differences Between Direct Alignment Algorithms are a Blur Paper • 2502.01237 • Published Feb 3, 2025 • 113
Instruction Pre-Training: Language Models are Supervised Multitask Learners Paper • 2406.14491 • Published Jun 20, 2024 • 96
Vikhr: The Family of Open-Source Instruction-Tuned Large Language Models for Russian Paper • 2405.13929 • Published May 22, 2024 • 55
Learn Your Reference Model for Real Good Alignment Paper • 2404.09656 • Published Apr 15, 2024 • 91