A target-phrase-only edit representation offers the best accuracy-versus-output-length trade-off for LLM-based ASR post editing, closing 50-60% of the WER gap to full rewriting while losing only 10-20% of the length savings.
Reducing sequence length by predicting edit spans with large language models,
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Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing
A target-phrase-only edit representation offers the best accuracy-versus-output-length trade-off for LLM-based ASR post editing, closing 50-60% of the WER gap to full rewriting while losing only 10-20% of the length savings.