Papers by Emanuele Di Rosa
Multi-Agent Orchestration for Terminology-Constrained Machine Translation in Industrial Localization (2026.acl-industry)
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| Challenge: | Accurate terminology is a non-negotiable requirement in industrial localization processes. |
| Approach: | They propose a multi-agent LLM pipeline that orchestrates four specialized agents for terminology-constrained machine translation. |
| Outcome: | The proposed system achieves 99.4% average accuracy while outperforming other systems on the WMT25 Terminology Translation benchmark. |