New Method Helps Large Language Models Handle Polysemy in AI Translation – slator.com

In a May 29, 2025 paper, a group of researchers from the Harbin Institute of Technology proposed a method to improve AI translation performance in large language models (LLMs) by addressing a common issue: semantic ambiguity caused by context-sensitive words.  These include polysemous words — terms with multiple meanings depending on context — as well […]