TAPO: Translation Augmented Policy Optimization for Multilingual Mathematical Reasoning
Fuente:
arXiv
Saved in:
| Main Authors: | Huang, Xu, Lai, Zhejian, Huang, Zixian, Chen, Jiajun, Huang, Shujian |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Alleviating Distribution Shift in Synthetic Data for Machine Translation Quality Estimation
by: Geng, Xiang, et al.
Published: (2025)
by: Geng, Xiang, et al.
Published: (2025)
Self-Improving Multilingual Long Reasoning via Translation-Reasoning Integrated Training
by: Liu, Junxiao, et al.
Published: (2026)
by: Liu, Junxiao, et al.
Published: (2026)
ExpLang: Improved Exploration and Exploitation in LLM Reasoning with On-Policy Thinking Language Selection
by: Gao, Changjiang, et al.
Published: (2026)
by: Gao, Changjiang, et al.
Published: (2026)
Question Translation Training for Better Multilingual Reasoning
by: Zhu, Wenhao, et al.
Published: (2024)
by: Zhu, Wenhao, et al.
Published: (2024)
Extend Adversarial Policy Against Neural Machine Translation via Unknown Token
by: Zou, Wei, et al.
Published: (2025)
by: Zou, Wei, et al.
Published: (2025)
The Power of Question Translation Training in Multilingual Reasoning: Broadened Scope and Deepened Insights
by: Zhu, Wenhao, et al.
Published: (2024)
by: Zhu, Wenhao, et al.
Published: (2024)
Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions
by: Li, Jiahuan, et al.
Published: (2023)
by: Li, Jiahuan, et al.
Published: (2023)
How Does Alignment Enhance LLMs' Multilingual Capabilities? A Language Neurons Perspective
by: Zhang, Shimao, et al.
Published: (2025)
by: Zhang, Shimao, et al.
Published: (2025)
MAPO: Advancing Multilingual Reasoning through Multilingual Alignment-as-Preference Optimization
by: She, Shuaijie, et al.
Published: (2024)
by: She, Shuaijie, et al.
Published: (2024)
Unlocking Fine-Grained Translation Quality Estimation in LRMs through Synergistically Evolving Implicit and Explicit Reasoning
by: Dang, Renfei, et al.
Published: (2026)
by: Dang, Renfei, et al.
Published: (2026)
LLaMAX2: Your Translation-Enhanced Model also Performs Well in Reasoning
by: Gao, Changjiang, et al.
Published: (2025)
by: Gao, Changjiang, et al.
Published: (2025)
Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis
by: Zhu, Wenhao, et al.
Published: (2023)
by: Zhu, Wenhao, et al.
Published: (2023)
Trans-Zero: Self-Play Incentivizes Large Language Models for Multilingual Translation Without Parallel Data
by: Zou, Wei, et al.
Published: (2025)
by: Zou, Wei, et al.
Published: (2025)
Could Thinking Multilingually Empower LLM Reasoning?
by: Gao, Changjiang, et al.
Published: (2025)
by: Gao, Changjiang, et al.
Published: (2025)
MT-PATCHER: Selective and Extendable Knowledge Distillation from Large Language Models for Machine Translation
by: Li, Jiahuan, et al.
Published: (2024)
by: Li, Jiahuan, et al.
Published: (2024)
Understanding New-Knowledge-Induced Factual Hallucinations in LLMs: Analysis and Interpretation
by: Dang, Renfei, et al.
Published: (2025)
by: Dang, Renfei, et al.
Published: (2025)
PreAlign: Boosting Cross-Lingual Transfer by Early Establishment of Multilingual Alignment
by: Li, Jiahuan, et al.
Published: (2024)
by: Li, Jiahuan, et al.
Published: (2024)
EnAnchored-X2X: English-Anchored Optimization for Many-to-Many Translation
by: Yang, Sen, et al.
Published: (2025)
by: Yang, Sen, et al.
Published: (2025)
Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation
by: Huang, Xu, et al.
Published: (2024)
by: Huang, Xu, et al.
Published: (2024)
TAPO: Task-Referenced Adaptation for Prompt Optimization
by: Luo, Wenxin, et al.
Published: (2025)
by: Luo, Wenxin, et al.
Published: (2025)
R-PRM: Reasoning-Driven Process Reward Modeling
by: She, Shuaijie, et al.
Published: (2025)
by: She, Shuaijie, et al.
Published: (2025)
Align to the Pivot: Dual Alignment with Self-Feedback for Multilingual Math Reasoning
by: Zhao, Chunxu, et al.
Published: (2026)
by: Zhao, Chunxu, et al.
Published: (2026)
Multilingual Contrastive Decoding via Language-Agnostic Layers Skipping
by: Zhu, Wenhao, et al.
Published: (2024)
by: Zhu, Wenhao, et al.
Published: (2024)
Large Language Models are Limited in Out-of-Context Knowledge Reasoning
by: Hu, Peng, et al.
Published: (2024)
by: Hu, Peng, et al.
Published: (2024)
Multilingual Pretraining and Instruction Tuning Improve Cross-Lingual Knowledge Alignment, But Only Shallowly
by: Gao, Changjiang, et al.
Published: (2024)
by: Gao, Changjiang, et al.
Published: (2024)
PrAg-PO: Prompt Augmented Policy Optimization for Robust and Diverse Mathematical Reasoning
by: Lu, Wenquan, et al.
Published: (2026)
by: Lu, Wenquan, et al.
Published: (2026)
Getting More from Less: Large Language Models are Good Spontaneous Multilingual Learners
by: Zhang, Shimao, et al.
Published: (2024)
by: Zhang, Shimao, et al.
Published: (2024)
Formality is Favored: Unraveling the Learning Preferences of Large Language Models on Data with Conflicting Knowledge
by: Li, Jiahuan, et al.
Published: (2024)
by: Li, Jiahuan, et al.
Published: (2024)
Multi-Candidate Speculative Decoding
by: Yang, Sen, et al.
Published: (2024)
by: Yang, Sen, et al.
Published: (2024)
MoE-LPR: Multilingual Extension of Large Language Models through Mixture-of-Experts with Language Priors Routing
by: Zhou, Hao, et al.
Published: (2024)
by: Zhou, Hao, et al.
Published: (2024)
Understand, Solve and Translate: Bridging the Multilingual Mathematical Reasoning Gap
by: Ko, Hyunwoo, et al.
Published: (2025)
by: Ko, Hyunwoo, et al.
Published: (2025)
Measuring Meaning Composition in the Human Brain with Composition Scores from Large Language Models
by: Gao, Changjiang, et al.
Published: (2024)
by: Gao, Changjiang, et al.
Published: (2024)
PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts
by: Wang, Yiming, et al.
Published: (2025)
by: Wang, Yiming, et al.
Published: (2025)
BenchMAX: A Comprehensive Multilingual Evaluation Suite for Large Language Models
by: Huang, Xu, et al.
Published: (2025)
by: Huang, Xu, et al.
Published: (2025)
GRRM: Group Relative Reward Modeling for Machine Translation
by: Yang, Sen, et al.
Published: (2026)
by: Yang, Sen, et al.
Published: (2026)
Self-Evolution Knowledge Distillation for LLM-based Machine Translation
by: Song, Yuncheng, et al.
Published: (2024)
by: Song, Yuncheng, et al.
Published: (2024)
PATS: Process-Level Adaptive Thinking Mode Switching
by: Wang, Yi, et al.
Published: (2025)
by: Wang, Yi, et al.
Published: (2025)
Exploring the Factual Consistency in Dialogue Comprehension of Large Language Models
by: She, Shuaijie, et al.
Published: (2023)
by: She, Shuaijie, et al.
Published: (2023)
SLAM: Towards Efficient Multilingual Reasoning via Selective Language Alignment
by: Fan, Yuchun, et al.
Published: (2025)
by: Fan, Yuchun, et al.
Published: (2025)
PEGRL: Improving Machine Translation by Post-Editing Guided Reinforcement Learning
by: Shen, Yunzhi, et al.
Published: (2026)
by: Shen, Yunzhi, et al.
Published: (2026)
Similar Items
-
Alleviating Distribution Shift in Synthetic Data for Machine Translation Quality Estimation
by: Geng, Xiang, et al.
Published: (2025) -
Self-Improving Multilingual Long Reasoning via Translation-Reasoning Integrated Training
by: Liu, Junxiao, et al.
Published: (2026) -
ExpLang: Improved Exploration and Exploitation in LLM Reasoning with On-Policy Thinking Language Selection
by: Gao, Changjiang, et al.
Published: (2026) -
Question Translation Training for Better Multilingual Reasoning
by: Zhu, Wenhao, et al.
Published: (2024) -
Extend Adversarial Policy Against Neural Machine Translation via Unknown Token
by: Zou, Wei, et al.
Published: (2025)