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Claim-locked reporting boosts the accuracy of LLM-generated statistical reports by over 37%, ensuring that evidence integrity is maintained throughout the writing process.
Frequency-diverse temporal modeling boosts imagined handwriting decoding accuracy to 0.7952, revealing the critical role of ensemble strategies in EEG-fNIRS applications.
