Christof Monz

1. Reward-Guided Speculative Decoding for Efficient LLM Reasoning
   2025/01/31 by Baohao Liao, Yuhui Xu, Liao, Baohao +13 · 29 citations
   Computer Science · #Natural Language Processing Techniques
2. Parameter-Efficient Fine-Tuning without Introducing New Latency
   2023/05/26 by Baohao Liao, Yan Meng, Liao, Baohao +3 · 5 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Speech Recognition and Synthesis #Topic Modeling
3. Back-Translation Sampling by Targeting Difficult Words in Neural Machine\n Translation
   2018/08/27 by Marzieh Fadaee, Christof Monz, Fadaee, Marzieh +1 · 3 citations
   Computer Science · #Natural Language Processing Techniques #Topic Modeling #Multimodal Machine Learning Applications
4. Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book?
   2024/09/27 by Seth Aycock, David Stap, Aycock, Seth +8 · 1 voice · 4 citations
   Computer Science · #Natural Language Processing Techniques #Mathematics, Computing, and Information Processing
5. The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities
   2024/05/30 by David Stap, Eva Hasler, Stap, David +7 · 3 citations
   Arts and Humanities · Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Translation Studies and Practices
6. Ask Language Model to Clean Your Noisy Translation Data
   2023/10/20 by Quinten Bolding, Bolding, Quinten, Baohao Liao +7 · 2 citations
   Computer Science · #Natural Language Processing Techniques #Topic Modeling #Text Readability and Simplification
7. The Importance of Being Recurrent for Modeling Hierarchical Structure
   2018/03/09 by Ke Tran, Tran, Ke, Arianna Bisazza +3 · 1 citation
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
8. Analyzing the Evaluation of Cross-Lingual Knowledge Transfer in Multilingual Language Models
   2024/02/03 by Sara Rajaee, Christof Monz, Rajaee, Sara +1 · 2 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques
9. Please Translate Again: Two Simple Experiments on Whether Human-Like Reasoning Helps Translation
   2025/06/05 by Di Wu, Seth Aycock, Wu, Di +3 · 4 citations
   Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Natural Language Processing Techniques
10. How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation
    2024/07/02 by Yan Meng, Di Wu, Meng, Yan +3 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques
11. On the Evaluation Practices in Multilingual NLP: Can Machine Translation Offer an Alternative to Human Translations?
    2024/06/20 by Rochelle Choenni, Choenni, Rochelle, Sara Rajaee +5 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques
12. Fractured Chain-of-Thought Reasoning
    2025/05/19 by Baohao Liao, Hanze Dong, Liao, Baohao +11 · 2 citations
    Computer Science · Arts and Humanities · #Multi-Agent Systems and Negotiation #Philosophy and History of Science
13. Control the Temperature: Selective Sampling for Diverse and High-Quality LLM Outputs
    2025/09/20 by Sergey Troshin, Troshin, Sergey, Wafaa Mohammed +9 · 2 citations
    Engineering · #Flow Measurement and Analysis