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Onto the results! Brain2Qwerty2 achieves an average word error rate of 39%, and 22% for the best subject, who has 28% of sentences decoded perfectly and 47% within a single word edit. This is roughly a twofold improvement over v1's best subject. What's interesting is Brain2Qwerty v2 actually has a higher character error rate than an n-gram decoder, which makes sense since using the LLM for decoding trades character precision for meaning and coherence.
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