Large Multi-modal Models (LMMs) have recently demonstrated remarkable abilities in visual context understanding and coherent response generation.

The current methods follow the paradigm of adapting the visual task outputs to language-oriented formats.

While recent advancements in large multimodal models (LMMs) have significantly improved their abilities in image quality assessment (IQA) relying on absolute quality rating, how to transfer reliable relative quality comparison outputs to continuous perceptual quality scores remains largely unexplored.

Specifically, as part of the question, it contains a referring query that references related video contexts, called referred context .