Deepayan Das

Personalizing MLLMs via Reinforced Multimodal Reference Game

Deepayan Das, Davide Talon, Yiming Wang, Massimiliano Mancini, Elisa Ricci

Personalizing Multimodal Large Language Models (MLLMs) aims to recognize users' unique concepts from visual data and provide personalized responses. Although prior work has shown the benefit of concept descriptions and reasoning for this task, MLLM descriptions often include info…Read more