Fine-tuning LLMs on extra modalities improves some knowledge tasks but degrades reasoning and instruction-following; weighted model merging preserves language ability better than training one model on all modalities.
Cross-modal knowl- edge transfer without task-relevant source data
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Is Extending Modality The Right Path Towards Omni-Modality?
Fine-tuning LLMs on extra modalities improves some knowledge tasks but degrades reasoning and instruction-following; weighted model merging preserves language ability better than training one model on all modalities.