Boosting Omni-Modal Language Models: Staged Post-Training with Visually Debiased Evaluation

Che Liu, Lichao Ma, Xiangyu Tony Zhang +4

Omni-modal language models are intended to jointly understand audio, visual inputs, and language, but benchmark gains can be inflated when visual evidence alone is enough to answer…