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Machine Intelligence Laboratory, ALTA Institute, Cambridge University Engineering Department
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Transforming written L2 responses into spoken-style transcripts can dramatically enhance the accuracy of automated speaking assessments.
LLMs aren't equally reliable as NLG evaluators, but a Bradley-Terry extension called BT-sigma can learn judge reliability from pairwise comparisons alone, improving ranking accuracy without human supervision.