Getting More from Less: Large Language Models are Good Spontaneous Multilingual Learners
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Shimao, Gao, Changjiang, Zhu, Wenhao, Chen, Jiajun, Huang, Xin, Han, Xue, Feng, Junlan, Deng, Chao, Huang, Shujian |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Understanding LLMs' Cross-Lingual Context Retrieval: How Good It Is And Where It Comes From
by: Gao, Changjiang, et al.
Published: (2025)
by: Gao, Changjiang, et al.
Published: (2025)
Large Language Models Are Cross-Lingual Knowledge-Free Reasoners
by: Hu, Peng, et al.
Published: (2024)
by: Hu, Peng, 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)
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)
Could Thinking Multilingually Empower LLM Reasoning?
by: Gao, Changjiang, et al.
Published: (2025)
by: Gao, Changjiang, 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)
Investigating and Scaling up Code-Switching for Multilingual Language Model Pre-Training
by: Wang, Zhijun, et al.
Published: (2025)
by: Wang, Zhijun, et al.
Published: (2025)
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)
EDT: Improving Large Language Models' Generation by Entropy-based Dynamic Temperature Sampling
by: Zhang, Shimao, et al.
Published: (2024)
by: Zhang, Shimao, 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)
Multilingual Contrastive Decoding via Language-Agnostic Layers Skipping
by: Zhu, Wenhao, et al.
Published: (2024)
by: Zhu, Wenhao, et al.
Published: (2024)
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)
PEGRL: Improving Machine Translation by Post-Editing Guided Reinforcement Learning
by: Shen, Yunzhi, et al.
Published: (2026)
by: Shen, Yunzhi, et al.
Published: (2026)
Self-Improving Multilingual Long Reasoning via Translation-Reasoning Integrated Training
by: Liu, Junxiao, et al.
Published: (2026)
by: Liu, Junxiao, et al.
Published: (2026)
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)
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)
PATS: Process-Level Adaptive Thinking Mode Switching
by: Wang, Yi, et al.
Published: (2025)
by: Wang, Yi, 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)
BenchMAX: A Comprehensive Multilingual Evaluation Suite for Large Language Models
by: Huang, Xu, et al.
Published: (2025)
by: Huang, Xu, 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)
TAPO: Translation Augmented Policy Optimization for Multilingual Mathematical Reasoning
by: Huang, Xu, et al.
Published: (2026)
by: Huang, Xu, et al.
Published: (2026)
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)
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)
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)
Process-based Self-Rewarding Language Models
by: Zhang, Shimao, et al.
Published: (2025)
by: Zhang, Shimao, 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)
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)
GenDistiller: Distilling Pre-trained Language Models based on an Autoregressive Generative Model
by: Gao, Yingying, et al.
Published: (2024)
by: Gao, Yingying, et al.
Published: (2024)
LLaMAX2: Your Translation-Enhanced Model also Performs Well in Reasoning
by: Gao, Changjiang, et al.
Published: (2025)
by: Gao, Changjiang, 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)
Are Large Language Models Good Temporal Graph Learners?
by: Huang, Shenyang, et al.
Published: (2025)
by: Huang, Shenyang, et al.
Published: (2025)
When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners
by: Zhao, Weixiang, et al.
Published: (2025)
by: Zhao, Weixiang, et al.
Published: (2025)
Less Is More? Examining Fairness in Pruned Large Language Models for Summarising Opinions
by: Huang, Nannan, et al.
Published: (2025)
by: Huang, Nannan, et al.
Published: (2025)
Palette of Language Models: A Solver for Controlled Text Generation
by: Yang, Zhe, et al.
Published: (2025)
by: Yang, Zhe, et al.
Published: (2025)
Sampling More, Getting Less: Calibration is the Diversity Bottleneck in LLMs
by: Banayeeanzade, Amin, et al.
Published: (2026)
by: Banayeeanzade, Amin, et al.
Published: (2026)
Extend Adversarial Policy Against Neural Machine Translation via Unknown Token
by: Zou, Wei, et al.
Published: (2025)
by: Zou, Wei, et al.
Published: (2025)
MultiPL-MoE: Multi-Programming-Lingual Extension of Large Language Models through Hybrid Mixture-of-Experts
by: Wang, Qing, et al.
Published: (2025)
by: Wang, Qing, et al.
Published: (2025)
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)
Similar Items
-
Understanding LLMs' Cross-Lingual Context Retrieval: How Good It Is And Where It Comes From
by: Gao, Changjiang, et al.
Published: (2025) -
Large Language Models Are Cross-Lingual Knowledge-Free Reasoners
by: Hu, Peng, 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) -
Align to the Pivot: Dual Alignment with Self-Feedback for Multilingual Math Reasoning
by: Zhao, Chunxu, et al.
Published: (2026) -
Could Thinking Multilingually Empower LLM Reasoning?
by: Gao, Changjiang, et al.
Published: (2025)