C3PO: Critical-Layer, Core-Expert, Collaborative Pathway Optimization for Test-Time Expert Re-Mixing Paper • 2504.07964 • Published 12 days ago • 61
GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training Paper • 2503.08525 • Published Mar 11 • 16
GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training Paper • 2503.08525 • Published Mar 11 • 16
GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-based VLM Agent Training Paper • 2503.08525 • Published Mar 11 • 16 • 2
R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts Paper • 2502.20395 • Published Feb 27 • 47
MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models Paper • 2502.00698 • Published Feb 2 • 24
MM-IQ: Benchmarking Human-Like Abstraction and Reasoning in Multimodal Models Paper • 2502.00698 • Published Feb 2 • 24
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective Paper • 2410.23743 • Published Oct 31, 2024 • 64
Continual Task Allocation in Meta-Policy Network via Sparse Prompting Paper • 2305.18444 • Published May 29, 2023 • 1
Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld Paper • 2311.16714 • Published Nov 28, 2023 • 1
PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization Paper • 2212.05652 • Published Dec 12, 2022 • 2
WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents Paper • 2410.07484 • Published Oct 9, 2024 • 50
WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents Paper • 2410.07484 • Published Oct 9, 2024 • 50