The Latent Space: Foundation, Evolution, Mechanism, Ability, and Outlook Paper • 2604.02029 • Published Apr 2 • 152
Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem Paper • 2512.24873 • Published Dec 31, 2025 • 109
VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training Paper • 2602.10693 • Published Feb 11 • 221
view article Article Transformers v5: Simple model definitions powering the AI ecosystem +2 lysandre, ArthurZ, cyrilvallez, reach-vb • Dec 1, 2025 • 312
Nanbeige4.1-3B: A Small General Model that Reasons, Aligns, and Acts Paper • 2602.13367 • Published Feb 13 • 36
GigaBrain-0.5M*: a VLA That Learns From World Model-Based Reinforcement Learning Paper • 2602.12099 • Published Feb 12 • 62
Less is Enough: Synthesizing Diverse Data in Feature Space of LLMs Paper • 2602.10388 • Published Feb 11 • 245
Weak-Driven Learning: How Weak Agents make Strong Agents Stronger Paper • 2602.08222 • Published Feb 9 • 290
AIRS-Bench: a Suite of Tasks for Frontier AI Research Science Agents Paper • 2602.06855 • Published Feb 6 • 83
QuantaAlpha: An Evolutionary Framework for LLM-Driven Alpha Mining Paper • 2602.07085 • Published Feb 6 • 191
F-GRPO: Don't Let Your Policy Learn the Obvious and Forget the Rare Paper • 2602.06717 • Published Feb 6 • 75
WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning Paper • 2602.04634 • Published Feb 4 • 100