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Finally, an LLM (Qwen3-4B) takes in both the MEG embeddings (chopped up at the word-level) and the characters decoded from the Encoder's CTC head. The LLM outputs the final decoded text. The LLM is trained with a simple LoRA adapter. The model was trained in three phases: CTC-only, CTC+SigLIP, CTC+SigLIP+LLM cross entropy. Separate LoRAs are trained for each subject before merging them into one LoRA.
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