@inproceedings{yang-etal-2026-trive,
title = "{TRIVE}: A Tri-Fusion Verified Translation Agent",
author = "Yang, Mengpeng and
Xia, Tian and
Yang, Jingxu and
Chen, Chao and
Sun, Yabo and
Liu, Qiang",
editor = "Haddow, Barry and
Kocmi, Tom and
Koehn, Philipp and
Monz, Christof",
booktitle = "Proceedings of the Eleventh Conference on Machine Translation",
month = oct,
year = "2026",
address = "Budapest, Hungary",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.wmt-main.84/",
pages = "1463--1476",
ISBN = "979-8-89176-474-3",
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."
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<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.</abstract>
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%0 Conference Proceedings
%T TRIVE: A Tri-Fusion Verified Translation Agent
%A Yang, Mengpeng
%A Xia, Tian
%A Yang, Jingxu
%A Chen, Chao
%A Sun, Yabo
%A Liu, Qiang
%Y Haddow, Barry
%Y Kocmi, Tom
%Y Koehn, Philipp
%Y Monz, Christof
%S Proceedings of the Eleventh Conference on Machine Translation
%D 2026
%8 October
%I Association for Computational Linguistics
%C Budapest, Hungary
%@ 979-8-89176-474-3
%F yang-etal-2026-trive
%X 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.
%U https://aclanthology.org/2026.wmt-main.84/
%P 1463-1476
Markdown (Informal)
[TRIVE: A Tri-Fusion Verified Translation Agent](https://aclanthology.org/2026.wmt-main.84/) (Yang et al., WMT 2026)
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.