MiMo-V2.6：將強化學習擴展至自我改進
MiMo-V2.6: Scaling Reinforcement Learning Towards Self-Improvement
arXiv
110
Liang-Hsun Huang 許願
MiniMax-M1：以閃電注意力高效地擴展測試時運算
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
arXiv
0
Liang-Hsun Huang 許願
論預訓練、中期訓練與強化學習在推理語言模型上的交互作用
On the Interplay of Pre-Training, Mid-Training, and RL on Reasoning Language Models
arXiv
3
kerg kerg 許願
訓練 LLM 智能體透過世界知識探索實現自發、無獎勵的自我演化
Training LLM Agents for Spontaneous Reward-Free Self-Evolution via World Knowledge Exploration
arXiv
101
Teds Lin 許願
LongAct：利用內在激活模式實現長上下文強化學習
LongAct Harnessing Intrinsic Activation Patterns for Long-Context Reinforcement Learning
arXiv
63
Teds Lin 許願