Beyond Policy Rollouts: Embedding-Space Directional Exploration with Anchored Noise for LLM RLVR Paper • 2610.16105 • Published 6 days ago • 8
ASCENT: Online Test-Time Training of Long-Horizon Agents via Self-Distillation of Verified Experience Paper • 2610.05303 • Published 14 days ago • 24
LLaDA-Image: Building Strong Image Generators with Fully Open Training Recipes Paper • 2609.03796 • Published Sep 3 • 183
MHPO: Modulated Hazard-aware Policy Optimization for Stable Reinforcement Learning Paper • 2603.16929 • Published Mar 14 • 13
On Token's Dilemma: Dynamic MoE with Drift-Aware Token Assignment for Continual Learning of Large Vision Language Models Paper • 2603.27481 • Published Mar 29 • 33
HyperAlign: Hypernetwork for Efficient Test-Time Alignment of Diffusion Models Paper • 2601.15968 • Published Jan 22 • 9
On Token's Dilemma: Dynamic MoE with Drift-Aware Token Assignment for Continual Learning of Large Vision Language Models Paper • 2603.27481 • Published Mar 29 • 33
Running on CPU Upgrade Featured 3.33k The Smol Training Playbook 📚 3.33k The secrets to building world-class LLMs
The Art of Scaling Reinforcement Learning Compute for LLMs Paper • 2510.13786 • Published Oct 15, 2025 • 34
RLAD: Training LLMs to Discover Abstractions for Solving Reasoning Problems Paper • 2510.02263 • Published Oct 2, 2025 • 9
MultiEdit: Advancing Instruction-based Image Editing on Diverse and Challenging Tasks Paper • 2509.14638 • Published Sep 18, 2025 • 15
Evolving Language Models without Labels: Majority Drives Selection, Novelty Promotes Variation Paper • 2509.15194 • Published Sep 18, 2025 • 33
MultiEdit: Advancing Instruction-based Image Editing on Diverse and Challenging Tasks Paper • 2509.14638 • Published Sep 18, 2025 • 15
Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing Paper • 2509.08721 • Published Sep 10, 2025 • 665