Multi-Agent AI Systems Can Improve Accuracy and Domain Adaptation in AI Translation – slator.com
In an April 17, 2025 paper, Vicent Briva-Iglesias from ADAPT Centre argues that AI translation workflows can be reimagined using multiple specialized AI agents — each with a distinct role in the translation process — to improve quality, domain adaptability, and contextual awareness. This “agentic” approach builds on recent research — including Tencent’s work on […]
Research Pits Traditional Machine Translation Against LLM-Powered AI Translation – slator.com
As large language models (LLMs) continue to transform translation workflows, a new study underscores the ongoing importance of conventional, domain-specific machine translation (MT) models. While recognizing the impact of LLMs on translation processes, the researchers emphasize the need for careful evaluation of workflows to ensure optimal outcomes. Previous research has shown that MT systems often […]