@inproceedings{pang-etal-2025-in2x,
title = "{I}n2{X} at {WMT}25 Translation Task",
author = "Pang, Lei and
Mao, Hanyi and
Xiao, Quanjia and
Ruihan, Chen and
Zhang, Jingjun and
Liu, Haixiao and
Li, Xiangyi",
editor = "Haddow, Barry and
Kocmi, Tom and
Koehn, Philipp and
Monz, Christof",
booktitle = "Proceedings of the Tenth Conference on Machine Translation",
month = nov,
year = "2025",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.wmt-1.43/",
pages = "671--679",
ISBN = "979-8-89176-341-8",
abstract = "This paper presents the open-system submission by the In2x research team for the WMT25 General Machine Translation Shared Task. Our submission focuses on Japanese-related translation tasks, aiming to explore a generalizable paradigm for extending large language models (LLMs) to other languages. This paradigm encompasses aspects such as data construction methods and reward model design. The ultimate goal is to enable large language model systems to achieve exceptional performance in low-resource or less commonly spoken languages."
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<abstract>This paper presents the open-system submission by the In2x research team for the WMT25 General Machine Translation Shared Task. Our submission focuses on Japanese-related translation tasks, aiming to explore a generalizable paradigm for extending large language models (LLMs) to other languages. This paradigm encompasses aspects such as data construction methods and reward model design. The ultimate goal is to enable large language model systems to achieve exceptional performance in low-resource or less commonly spoken languages.</abstract>
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%0 Conference Proceedings
%T In2X at WMT25 Translation Task
%A Pang, Lei
%A Mao, Hanyi
%A Xiao, Quanjia
%A Ruihan, Chen
%A Zhang, Jingjun
%A Liu, Haixiao
%A Li, Xiangyi
%Y Haddow, Barry
%Y Kocmi, Tom
%Y Koehn, Philipp
%Y Monz, Christof
%S Proceedings of the Tenth Conference on Machine Translation
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-341-8
%F pang-etal-2025-in2x
%X This paper presents the open-system submission by the In2x research team for the WMT25 General Machine Translation Shared Task. Our submission focuses on Japanese-related translation tasks, aiming to explore a generalizable paradigm for extending large language models (LLMs) to other languages. This paradigm encompasses aspects such as data construction methods and reward model design. The ultimate goal is to enable large language model systems to achieve exceptional performance in low-resource or less commonly spoken languages.
%U https://aclanthology.org/2025.wmt-1.43/
%P 671-679
Markdown (Informal)
[In2X at WMT25 Translation Task](https://aclanthology.org/2025.wmt-1.43/) (Pang et al., WMT 2025)
ACL
- Lei Pang, Hanyi Mao, Quanjia Xiao, Chen Ruihan, Jingjun Zhang, Haixiao Liu, and Xiangyi Li. 2025. In2X at WMT25 Translation Task. In Proceedings of the Tenth Conference on Machine Translation, pages 671–679, Suzhou, China. Association for Computational Linguistics.