Author

Yanru Wu

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#artificial intelligence Mar 2026

Large Reward Models: Generalizable Online Robot Reward Generation with Vision-Language Models

This paper proposes Large Reward Models (LRMs), a framework that adapts foundation VLMs into frame-level reward generators for robot policy refinement, and shows that LRM progress rewards provide the strongest non-privileged online refinement signal, improving the IL baseline and narrowing the gap to privileged environ...

Yan-Ru Wu, Wei-Duo Yuan, Esteban Martinez Licon et al. · arXiv.org · 16 citations · ⚡1

#artificial intelligence Preprint Mar 2026

Guided Prompt Evolution for Vision-Language Models Adaptation

EvoPrompt is a novel framework designed to explicitly steer the prompt trajectory for knowledge-preserving fine-tuning, and achieves state-of-the-art performance in few-shot learning while robustly preserving the original zero-shot capabilities of pre-trained VLMs.

E. Zhang, Jia-Yun Li, Yanlong Wang et al. · 0 citations