Papers by Chunyu Ye
Decoding the Multimodal Mind: Generalizable Brain-to-Text Translation via Multimodal Alignment and Adaptive Routing (2026.findings-acl)
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| Challenge: | Current approaches to decoding language from the human brain rely on unimodal representations, neglecting the brain’s inherently multimodal processing. |
| Approach: | They propose a framework that leverages Multimodal Large Language Models to align brain signals with a shared semantic space encompassing text, images, and audio. |
| Outcome: | The proposed framework achieves an 8.48% improvement on the most commonly used benchmark on fMRI datasets with textual, visual, and auditory stimuli. |