arxivcs.CVcs.LG2026-07-09
Mixture of Probes: Learning from Privileged Modalities in Multimodal LLMs Through Probing
Dominick Reilly, Qiyu Wu, Hiromi Wakaki, Srijan Das, Yuki Mistufuji
Multimodal Large Language Models (MLLMs) are typically designed under the assumption that all modalities available during training will also be accessible at inference. However, many real-world settings violate this assumption, requiring models to operate under a privileged modal…