GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives Paper • 2609.39601 • Published Sep 30 • 125
Base Models Can Reason By Taking a Cue From Training Data Paper • 2610.06851 • Published 29 days ago • 22
TRACE: Rollout-Guided Quantization-Aware Training for FP4 Reinforcement Learning of MoE Language Models Paper • 2610.07767 • Published 28 days ago • 56
Making LLMs Say What They Think: Measuring and Improving CoT-Interpretability Alignment Paper • 2609.38972 • Published Sep 30 • 24
MetaRubric: Learning to Reward for Rubric-Based Reinforcement Learning Paper • 2610.02824 • Published Oct 2 • 18
James4Ever0/computer_agent_reinforcement_learning_trajectory_seagent_ai_assistant_tools_agent_mcp Updated Aug 10, 2025 • 111 • 10
Architect-Ant: Editable Automatic Furnishing of Architectural Floor Plans Paper • 2606.10953 • Published Sep 30 • 32
Think Before You Score: Thinking Reward Model for Visual Generation Paper • 2609.37372 • Published Sep 29 • 67
VLA-Precision: Asymmetric Co-Bootstrapping for Efficient Real-World Online RL of Vision-Language-Action Models Paper • 2609.04355 • Published Sep 18 • 8