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In2x at WMT25 Translation Task

arXiv 2508.14472 ↗First posted 20 Aug 2025cs.CL cs.AIcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 34 of its 58 references that are in the map. First posted on arXiv 20 Aug 2025.

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References · 34

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2022Training language models to follow instructions with human feedbackcited by 15,971
  3. 2017Proximal Policy Optimization Algorithmscited by 15,215
  4. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  5. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,459
  6. 2015Distilling the Knowledge in a Neural Networkcited by 10,324
  7. 2020Scaling Laws for Neural Language Modelscited by 6,586
  8. 2016SGDR: Stochastic Gradient Descent with Warm Restartscited by 5,045
  9. 2017Deep reinforcement learning from human preferencescited by 3,912
  10. 2022Constitutional AI: Harmlessness from AI Feedbackcited by 3,050
  11. 2022Training Compute-Optimal Large Language Modelscited by 3,019
  12. 2022Self-Instruct: Aligning Language Models with Self-Generated Instructionscited by 2,724
22 more
  1. 2015Trust Region Policy Optimizationcited by 2,580
  2. 2020The Pile: An 800GB Dataset of Diverse Text for Language Modelingcited by 2,411
  3. 2023Code Llama: Open Foundation Models for Codecited by 2,139
  4. 2020mT5: A massively multilingual pre-trained text-to-text transformercited by 1,818
  5. 2016Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translationcited by 1,475
  6. 2022Solving Quantitative Reasoning Problems with Language Modelscited by 1,392
  7. 2022No Language Left Behind: Scaling Human-Centered Machine Translationcited by 1,312
  8. 2023LIMA: Less Is More for Alignmentcited by 1,100
  9. 2017Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithmcited by 734
  10. 2024StarCoder 2 and The Stack v2: The Next Generationcited by 502
  11. 2016Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translationcited by 469
  12. 2020GeDi: Generative Discriminator Guided Sequence Generationcited by 378
  13. 2024Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothingcited by 346
  14. 2019Massively Multilingual Neural Machine Translationcited by 246
  15. 2025Inference-Time Scaling for Generalist Reward Modelingcited by 239
  16. 2024Tower: An Open Multilingual Large Language Model for Translation-Related Taskscited by 206
  17. 2023Is ChatGPT A Good Translator? Yes With GPT-4 As The Enginecited by 176
  18. 2016Dual Learning for Machine Translationcited by 148
  19. 2023Crossing the Threshold: Idiomatic Machine Translation through Retrieval Augmentation and Loss Weightingcited by 11
  20. 2025TIC-GRPO: Provable and Efficient Optimization for Reinforcement Learning from Human Feedbackcited by 11
  21. 2025GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Librariescited by 8
  22. 2025Optimal Brain Iterative Merging: Mitigating Interference in LLM Mergingcited by 2

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