TRIVE: A Tri-Fusion Verified Translation Agent

Mengpeng Yang, Tian Xia, Jingxu Yang, Chao Chen, Yabo Sun, Qiang Liu


Abstract
For the WMT26 General Machine Translation Task (Unconstrained Track), we propose TRIVE (Tri-Fusion Verified Translation Agent), a model-agnostic multi-agent translation framework. TRIVE organizes translation as a closed loop of Generation–Fusion–Verification–Correction: it first generates candidates in parallel under three complementary strategies—Faithful, Fluent, and Free—then synthesizes a draft that balances semantic fidelity and natural expression, and finally iteratively refines the output via rule-based validation and large language model evaluation. Because each module is implemented primarily via prompting, TRIVE can be directly overlaid onto diverse backbone models without task-specific fine-tuning. Experiments show that overlaying TRIVE on multiple backbones consistently improves instruction-following translation quality. Finally, we submitted Gemini-3.5-Flash + TRIVE as our primary system to WMT26.
Anthology ID:
2026.wmt-main.84
Volume:
Proceedings of the Eleventh Conference on Machine Translation
Month:
October
Year:
2026
Address:
Budapest, Hungary
Editors:
Barry Haddow, Tom Kocmi, Philipp Koehn, Christof Monz
Venues:
WMT | WS
SIG:
SIGMT
Publisher:
Association for Computational Linguistics
Note:
Pages:
1463–1476
Language:
URL:
https://aclanthology.org/2026.wmt-main.84/
DOI:
Bibkey:
Cite (ACL):
Mengpeng Yang, Tian Xia, Jingxu Yang, Chao Chen, Yabo Sun, and Qiang Liu. 2026. TRIVE: A Tri-Fusion Verified Translation Agent. In Proceedings of the Eleventh Conference on Machine Translation, pages 1463–1476, Budapest, Hungary. Association for Computational Linguistics.
Cite (Informal):
TRIVE: A Tri-Fusion Verified Translation Agent (Yang et al., WMT 2026)
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PDF:
https://aclanthology.org/2026.wmt-main.84.pdf