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AIDA Agents: A Multi-Agent Translation Platform with Context-Aware Quality Control

AIDA Agents, a multi-agent translation platform developed by Emanuele Di Rosa and Piotr Peszynski, outperforms all systems on 10 of 11 language pairs in the WMT24++ benchmark (11 languages) and achieves 70–98% publication-ready segments on an industrial benchmark without human post-editing. The platform orchestrates LLM-based agents for translation, rating, post-editing, and re-rating, with optional retrieval-augmented generation (RAG) to inject translation memories, terminology, and style guidelines, and is deployed with native XLIFF integration.

read1 min views7 publishedAug 24, 2026
AIDA Agents: A Multi-Agent Translation Platform with Context-Aware Quality Control
Image: Aclanthology (auto-discovered)
Abstract

We present AIDA Agents, a multi-agent translation platform that orchestrates LLM-based agents—for translation, rating, post-editing, and re-rating—delivering context-aware translations without model fine-tuning. Optional retrieval-augmented generation (RAG) injects translation memories, terminology, and style guidelines at every pipeline stage. On WMT24++ (Deutsch et al., 2025) (11 languages), AIDA Agents outperforms all systems on 10 of 11 pairs. On an industrial benchmark, 70–98% of segments are publication-ready without human post-editing. The platform is deployed with native XLIFF integration.- Anthology ID:

- 2026.eamt-2.4
- Volume:
[Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 2)](/volumes/2026.eamt-2/)- Month:
[EAMT](/venues/eamt/)- SIG:
- Publisher:
  • European Association for Machine Translation
- Note:
- Pages:
  • 8–9
- Language:
- URL:
[https://aclanthology.org/2026.eamt-2.4/](https://aclanthology.org/2026.eamt-2.4/)- DOI:
- Cite (ACL):
[AIDA Agents: A Multi-Agent Translation Platform with Context-Aware Quality Control](https://aclanthology.org/2026.eamt-2.4/)(Rosa & Peszynski, EAMT 2026)- PDF:
[https://aclanthology.org/2026.eamt-2.4.pdf](https://aclanthology.org/2026.eamt-2.4.pdf)
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