Christof Monz
- Reward-Guided Speculative Decoding for Efficient LLM Reasoning
2025/01/31 by Baohao Liao, Yuhui Xu, Liao, Baohao +13 · 40 citations
Computer Science · #Natural Language Processing Techniques
- Parameter-Efficient Fine-Tuning without Introducing New Latency
2023/05/26 by Baohao Liao, Yan Meng, Liao, Baohao +3 · 6 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
- The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models
2024/06/28 by Xinyi Chen, Baohao Liao, Chen, Xinyi +11 · 8 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Topic Modeling
- 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
- Conversations with Search Engines: SERP-based Conversational Response Generation
2020/04/29 by Pengjie Ren, Zhumin Chen, Ren, Pengjie +9 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Mobile Crowdsensing and Crowdsourcing #Multimodal Machine Learning Applications #Topic Modeling
- Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book?
2024/09/27 by Seth Aycock, Aycock, Seth, David Stap +8 · 1 voice · 5 citations
Computer Science · #Natural Language Processing Techniques #Mathematics, Computing, and Information Processing
- The Importance of Being Recurrent for Modeling Hierarchical Structure
2018/03/09 by Ke Tran, Arianna Bisazza, Tran, Ke +3 · 2 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities
2024/05/30 by David Stap, Stap, David, Eva Hasler +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
- 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
- Analyzing the Evaluation of Cross-Lingual Knowledge Transfer in Multilingual Language Models
2024/02/03 by Sara Rajaee, Rajaee, Sara, Christof Monz +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
- RefNet: A Reference-aware Network for Background Based Conversation
2019/08/18 by Chuan Meng, Meng, Chuan, Pengjie Ren +9 · 1 citation
Computer Science · #Topic Modeling #Speech and dialogue systems #Speech Recognition and Synthesis
- Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens
2023/05/19 by David Stap, Vlad Niculae, Stap, David +3 · 1 citation
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Neural Networks and Applications #Topic Modeling
- Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
2023/06/01 by Baohao Liao, Liao, Baohao, Shaomu Tan +3 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation
2024/07/02 by Yan Meng, Meng, Yan, Di Wu +3 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques
- 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
- On the Evaluation Practices in Multilingual NLP: Can Machine Translation Offer an Alternative to Human Translations?
2024/06/20 by Rochelle Choenni, Sara Rajaee, Choenni, Rochelle +5 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques
- Fractured Chain-of-Thought Reasoning
2025/05/19 by Baohao Liao, Hanze Dong, Liao, Baohao +11 · 3 citations
Computer Science · Arts and Humanities · #Multi-Agent Systems and Negotiation #Philosophy and History of Science
- Control the Temperature: Selective Sampling for Diverse and High-Quality LLM Outputs
2025/09/20 by Sergey Troshin, Wafaa Mohammed, Troshin, Sergey +9 · 2 citations
Engineering · #Flow Measurement and Analysis
- Retrospective and Prospective Mixture-of-Generators for Task-oriented Dialogue Response Generation
2019/11/19 by Jiahuan Pei, Pengjie Ren, Pei, Jiahuan +5 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Natural Language Processing Techniques #Speech and dialogue systems #Topic Modeling