SENSE: Efficient EEG-to-Text via Privacy-Preserving Semantic Retrieval
Decoding brain activity into natural language is a major challenge in AI with important applications in assistive communication, neurotechnology, and human–computer interaction. Most existing Brain–Computer Interface (BCI) approaches rely on memory-intensive fine-tuning of Large Language Models (LLMs) or encoder–decode...
Akshaj Murhekar, Christina Liu, Abhijit Mishra et al.
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