A framework for efficient multimodal fusion that aligns latent spaces of pre-trained unimodal encoders using minimal paired data and lightweight fusion adapters.

A method to quantify model uncertainty by producing calibrated prediction sets with statistical coverage guarantees, usable with any pre-trained model.