新闻
Large Language Models for Machine Translation Quality Annotation: Humans and Models Are Both Challenged
Apple Machine Learning Research · 发布于 · 阅读约3分钟
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- 发生了什么
- Apple researchers evaluated large language models for machine translation quality annotation across 70 language pairs, finding both LLMs and humans struggle with reliability.
- 为何重要
- Machine translation teams considering LLMs to replace human evaluation should understand current limitations before deployment in production systems.
- 注意
- LLMs exceed human agreement on some tasks but remain unreliable for most settings; they struggle with minor errors and language variants.
- llm
- language model
- eval
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