Aligning Large Vision-Language Models at Test Time: A Trajectory-Guided Structured Sampling Approach

Post-training reinforcement learning (RL) algorithms are commonly used to align large vision-language models (LVLMs) with human intent and the requirements of visual reasoning tasks. However, existing RL-based alignment methods are often resource-intensive and encounter mismatches between training o...