Every Step Evolves: Scaling Reinforcement Learning for Trillion-Scale Thinking Model Paper • 2510.18855 • Published Oct 21, 2025 • 74
MoESQ Collection Paired-4:8 + NVFP4 W4A4 expert compressed MoE models for NVIDIA Blackwell Sparse Tensor Cores. • 6 items • Updated about 7 hours ago • 5
RPMem: Learning Long-Term Recurrent Parametric Memory Across Sessions for LLM Agents Paper • 2609.23466 • Published about 1 month ago • 1
BDH-CQ: In-Context Learning with Recurrent Latent Reasoning Paper • 2608.09888 • Published Aug 10 • 806
A*-Thought-V2: Efficient Latent Reasoning via Geometric Dynamics of LLM Paper • 2609.07821 • Published Sep 7 • 15
Learning to Solve Hard Problems in RL for LLMs by Never Giving Up Paper • 2609.13443 • Published Sep 11 • 15
Continual Learning Mechanisms Compose for Long-Horizon Memorization Paper • 2609.06986 • Published Sep 7 • 370
Decoding Looped Transformers Better for (Almost) Free Paper • 2610.02185 • Published 22 days ago • 48
How to Loop MoE: Flatten the Experts, Untie the Attention Paper • 2609.35751 • Published 25 days ago • 15
Gains and Collapse in On-Policy Distillation:A Reinforcement Learning Perspective Paper • 2610.03185 • Published 21 days ago • 33
EngramEdit: Decoupled Knowledge Updates in LLMs through Conditional Memory Paper • 2610.10533 • Published 16 days ago • 9
WTF GENIUS PAPERS Collection Papers that made me appreciate my major and my life a little more. obs=Observation, innov=Innovation. Most papers are abt improving tiny models. • 489 items • Updated about 23 hours ago • 102
The Surprising Effectiveness of Shared Memory in Looped Transformers Paper • 2610.02383 • Published 22 days ago • 1