# LLM Rescoring

The work shows that most of the reported gain from jointly decoding all words in a sentence (d'Ascoli et al., 2025) is reproducible on synthetic signals containing no brain information (22.0% versus 22.3% on real MEG), because neighbouring three-second word-aligned windows overlap and implicitly leak word duration; decoding words independently instead (SimpleB2T) makes aggregation across observations and an LLM prior effective, reaching 36.6% word error rate with five observations per word on a clinically motivated benchmark.

The work shows that most of the reported gain from jointly decoding all words in a sentence (d'Ascoli et al., 2025) is reproducible on synthetic signals containing no brain information (22.0% versus 22.3% on real MEG), because neighbouring three-second word-aligned windows overlap and implicitly leak word duration; decoding words independently instead (SimpleB2T) makes aggregation across observations and an LLM prior effective, reaching 36.6% word error rate with five observations per word on a clinically motivated benchmark.