The Art of Scaling Reinforcement Learning Compute for LLMs
Paper
•
2510.13786
•
Published
•
32
Papers
-
-
Attention Is All You Need for KV Cache in Diffusion LLMs
Paper • 2510.14973 • Published • 42 -
BitNet Distillation
Paper • 2510.13998 • Published • 58 -
GigaBrain-0: A World Model-Powered Vision-Language-Action Model
Paper • 2510.19430 • Published • 51 -
Every Question Has Its Own Value: Reinforcement Learning with Explicit Human Values
Paper • 2510.20187 • Published • 19 -
LoongRL:Reinforcement Learning for Advanced Reasoning over Long Contexts
Paper • 2510.19363 • Published • 62 -
Qwen3-Omni Technical Report
Paper • 2509.17765 • Published • 146 -
T-pro 2.0: An Efficient Russian Hybrid-Reasoning Model and Playground
Paper • 2512.10430 • Published • 114 -
Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed
Paper • 2512.14067 • Published • 15 -
Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers
Paper • 2512.17351 • Published • 27 -
DataFlow: An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI
Paper • 2512.16676 • Published • 214 -
Reinforcement Learning for Self-Improving Agent with Skill Library
Paper • 2512.17102 • Published • 35 -
mHC: Manifold-Constrained Hyper-Connections
Paper • 2512.24880 • Published • 290 -
TransMLA: Multi-head Latent Attention Is All You Need
Paper • 2502.07864 • Published • 57 -
Endless Terminals: Scaling RL Environments for Terminal Agents
Paper • 2601.16443 • Published • 15