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Large language models are increasingly used in social interactions, where appropriate responses require recognizing implicit cues, inferring mental states, identifying conflicts, and considering potential consequences. However, existing benchmarks often focus on specific social abilities, constrained task formats, or p...
This analysis shows that, in new sentences, the contextual associations of tokens representing old entity types exhibit a significantly stronger bias towards new entity types compared to their contexts in old sentences, which intensifies the degradation of old knowledge while promoting the overfitting of new knowledge.
This work introduces Progressive Multimodal Alignment (PMA), a framework that enables the projector to adapt continually while preserving previously learned alignment, and scales across diverse MLLM backbones, demonstrating robust and broadly applicable MCIT performance.
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