Gloria Haro

Standard multimodal fusion treats modality weights uniformly across emotional states, but coupling facial geometry with class-adaptive gating and valence-arousal transition priors drives up to a 4.36 F1 gain on conversational emotion tracking.

VL-MemKnG boosts retrieval accuracy by nearly 10% over previous methods, showcasing the power of hybrid memory in navigating complex temporal contexts.