VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators
Paper • 2510.00406 • Published • 68
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upvoted a paper 7 days ago
VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action
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Abstain-R1: Calibrated Abstention and Post-Refusal Clarification via Verifiable RLOrganizations
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papers 13 days ago
Abstain-R1: Calibrated Abstention and Post-Refusal Clarification via Verifiable RL
Paper • 2604.17073 • Published • 9
TIPSv2: Advancing Vision-Language Pretraining with Enhanced Patch-Text Alignment
Paper • 2604.12012 • Published • 12
UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling
Paper • 2604.19734 • Published • 29
EasyVideoR1: Easier RL for Video Understanding
Paper • 2604.16893 • Published • 40
Near-Future Policy Optimization
Paper • 2604.20733 • Published • 74
DiPO: Disentangled Perplexity Policy Optimization for Fine-grained Exploration-Exploitation Trade-Off
Paper • 2604.13902 • Published • 62
PersonaVLM: Long-Term Personalized Multimodal LLMs
Paper • 2604.13074 • Published • 45
OneVL: One-Step Latent Reasoning and Planning with Vision-Language Explanation
Paper • 2604.18486 • Published • 90
LLaDA2.0-Uni: Unifying Multimodal Understanding and Generation with Diffusion Large Language Model
Paper • 2604.20796 • Published • 239