3 accepted papers
Language-driven generative agents have enabled large-scale social simulations with transformative uses, from interpersonal training to aiding global policy-making. However, recent studies indicate that generative agent behaviors often deviate from expert expectations and real-world data—a phenomenon
In this paper, we tackle the task of image captioning with the complementarity of visible light images and infrared images. To address this problem, we propose an RGBIR image fusion captioning model, which can take full advantage of visible light images and infrared images under different conditions…
Integrating Large Language Models (LLMs) and Vision-Language Models (VLMs) with robotic systems enables robots to process and understand complex natural language instructions and visual information. However, a fundamental challenge remains: for robots to fully capitalize on these advancements, they