Wen Lai
  According to our database1,
  Wen Lai
  authored at least 14 papers
  between 2018 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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On csauthors.net:
Bibliography
  2025
From Unaligned to Aligned: Scaling Multilingual LLMs with Multi-Way Parallel Corpora.
    
  
    CoRR, May, 2025
    
  
DCAD-2000: A Multilingual Dataset across 2000+ Languages with Data Cleaning as Anomaly Detection.
    
  
    CoRR, February, 2025
    
  
    CoRR, February, 2025
    
  
Structural reliability analysis for parameterized probability box based on efficient global optimization and dimension-reduction method.
    
  
    Int. J. Approx. Reason., 2025
    
  
  2024
    Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
    
  
LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback.
    
  
    Proceedings of the Findings of the Association for Computational Linguistics, 2024
    
  
  2023
Mitigating Data Imbalance and Representation Degeneration in Multilingual Machine Translation.
    
  
    Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
    
  
  2022
m<sup>4</sup>Adapter: Multilingual Multi-Domain Adaptation for Machine Translation with a Meta-Adapter.
    
  
    CoRR, 2022
    
  
m⌃4 Adapter: Multilingual Multi-Domain Adaptation for Machine Translation with a Meta-Adapter.
    
  
    Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
    
  
    Proceedings of the 29th International Conference on Computational Linguistics, 2022
    
  
  2021
The LMU Munich System for the WMT 2021 Large-Scale Multilingual Machine Translation Shared Task.
    
  
    Proceedings of the Sixth Conference on Machine Translation, 2021
    
  
  2018
    Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2018
    
  
    Proceedings of the Workshop on Technologies for MT of Low Resource Languages, 2018