fluency

A tweet claiming that LLM fluency has been achieved, linking to supporting content.

This paper introduces RLearner-LLM, a framework using Hybrid-DPO to balance logical correctness and fluency in LLM-generated explanations, achieving significant NLI entailment improvements across multiple domains and base models while mitigating the verbosity bias of standard preference signals.

This paper introduces NaturalFlow, a fluency-aware optimization framework that reduces disruptive pauses in simultaneous speech-to-speech translation by leveraging model-internal signals, achieving a balance between low latency and natural speech flow.

This paper empirically examines the tradeoff between fluency and faithfulness in literary translation using 130,486 paragraphs from 106 novels, finding a consistent negative correlation for human and Google Translate translations, but weaker for TranslateGemma.