%20have%20shown%20promise%20for%20human-like%20conversations%2C%20they%20are%20primarily%20pre-trained%20on%20text%20data.%20Incorporating%20audio%20or%20video%20improves%20performance%2C%20but%20collecting%20large-scale%20multimodal%20data%20and%20pre-training%20multimodal%20LLMs%20is%20challenging.%20To%20this%20end%2C%20we%20propose%20a%20Fusion%20Low%20Rank%20Adaptation%20(FLoRA)%20technique%20that%20efficiently%20adapts%20a%20pre-trained%20unimodal%20LLM%20to%20consume%20new%2C%20previously%20unseen%20modalities%20via%20low%20rank%20adaptation.%20For%20device-directed%20speech%20detection%2C%20using%20FLoRA%2C%20the%20multimodal%20LLM%20achieves%2022%25%20relative%20reduction%20in%20equal%20error%20rate%20(EER)%20over%20the%20text-only%20approach%20and%20attains%20performance%20parity%20with%20its%20full%20fine-tuning%20(FFT)%20counterpart%20while%20needing%20to%20tune%20only%20a%20fraction%20of%20its%20parameters.%20Furthermore%2C%20with%20the%20newly%20introduced%20adapter%20dropout%2C%20FLoRA%20is%20robust%20to%20missing%20data%2C%20improving%20over%20FFT%20by%2020%25%20lower%20EER%20and%2056%25%20lower%20false%20accept%20rate.%20The%20proposed%20approach%20scales%20well%20for%20model%20sizes%20from%2016M%20to%203B%20parameters.)
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