| 2026 | ACL | Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error Annotations. | Shaomu Tan, Ryosuke Mitani, Ritvik Choudhary, Qiyu Wu, Toshiyuki Sekiya, Christof Monz |
| 2026 | EACL | Best-of-L: Cross-Lingual Reward Modeling for Mathematical Reasoning. | Sara Rajaee, Rochelle Choenni, Ekaterina Shutova, Christof Monz |
| 2026 | EACL | What Does Infect Mean to Cardio? Investigating the Role of Clinical Specialty Data in Medical LLMs. | Xinlan Yan, Di Wu, Yibin Lei, Christof Monz, Iacer Calixto |
| 2025 | ACL | ClusComp: A Simple Paradigm for Model Compression and Efficient Finetuning. | Baohao Liao, Christian Herold, Seyyed Hadi Hashemi, Stefan Vasilev, Shahram Khadivi, Christof Monz |
| 2025 | ACL | Unilogit: Robust Machine Unlearning for LLMs Using Uniform-Target Self-Distillation. | Stefan Vasilev, Christian Herold, Baohao Liao, Seyyed Hadi Hashemi, Shahram Khadivi, Christof Monz |
| 2025 | EMNLP | The Effect of Language Diversity When Fine-Tuning Large Language Models for Translation. | David Stap, Christof Monz |
| 2025 | EMNLP | ReMedy: Learning Machine Translation Evaluation from Human Preferences with Reward Modeling. | Shaomu Tan, Christof Monz |
| 2025 | EMNLP | Please Translate Again: Two Simple Experiments on Whether Human-Like Reasoning Helps Translation. | Di Wu, Seth Aycock, Christof Monz |
| 2025 | ICLR | Can LLMs Really Learn to Translate a Low-Resource Language from One Grammar Book? | Seth Aycock, David Stap, Di Wu, Christof Monz, Khalil Sima'an |
| 2025 | ICML | Reward-Guided Speculative Decoding for Efficient LLM Reasoning. | Baohao Liao, Yuhui Xu, Hanze Dong, Junnan Li, Christof Monz, Silvio Savarese, Doyen Sahoo, Caiming Xiong |
| 2025 | NAACL | How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation. | Yan Meng, Di Wu, Christof Monz |
| 2024 | ACL | The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities. | David Stap, Eva Hasler, Bill Byrne, Christof Monz, Ke Tran |
| 2024 | ACL | How Far can 100 Samples Go? Unlocking Zero-Shot Translation with Tiny Multi-Parallel Data. | Di Wu, Shaomu Tan, Yan Meng, David Stap, Christof Monz |
| 2024 | AMTA | Entropy- and Distance-Regularized Attention Improves Low-Resource Neural Machine Translation. | Ali Araabi, Vlad Niculae, Christof Monz |
| 2024 | EACL | Disentangling the Roles of Target-side Transfer and Regularization in Multilingual Machine Translation. | Yan Meng, Christof Monz |
| 2024 | EACL | Analyzing the Evaluation of Cross-Lingual Knowledge Transfer in Multilingual Language Models. | Sara Rajaee, Christof Monz |
| 2024 | EMNLP | The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models. | Xinyi Chen, Baohao Liao, Jirui Qi, Panagiotis Eustratiadis, Christof Monz, Arianna Bisazza, Maarten de Rijke |
| 2024 | EMNLP | ApiQ: Finetuning of 2-Bit Quantized Large Language Model. | Baohao Liao, Christian Herold, Shahram Khadivi, Christof Monz |
| 2024 | EMNLP | Communicating with Speakers and Listeners of Different Pragmatic Levels. | Kata Naszdi, Frans A. Oliehoek, Christof Monz |
| 2024 | EMNLP | Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation. | Shaomu Tan, Di Wu, Christof Monz |
| 2024 | EMNLP | Representational Isomorphism and Alignment of Multilingual Large Language Models. | Di Wu, Yibin Lei, Andrew Yates, Christof Monz |
| 2023 | ACL | Parameter-Efficient Fine-Tuning without Introducing New Latency. | Baohao Liao, Yan Meng, Christof Monz |
| 2023 | ACL | NonFactS: NonFactual Summary Generation for Factuality Evaluation in Document Summarization. | Amir Soleimani, Christof Monz, Marcel Worring |
| 2023 | EMNLP | Ask Language Model to Clean Your Noisy Translation Data. | Quinten Bolding, Baohao Liao, Brandon James Denis, Jun Luo, Christof Monz |
| 2023 | EMNLP | Aligning Predictive Uncertainty with Clarification Questions in Grounded Dialog. | Kata Naszdi, Putra Manggala, Christof Monz |
| 2023 | EMNLP | Multilingual k-Nearest-Neighbor Machine Translation. | David Stap, Christof Monz |
| 2023 | EMNLP | Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens. | David Stap, Vlad Niculae, Christof Monz |
| 2023 | EMNLP | Towards a Better Understanding of Variations in Zero-Shot Neural Machine Translation Performance. | Shaomu Tan, Christof Monz |
| 2023 | EMNLP | Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation. | Di Wu, Christof Monz |
| 2022 | AMTA | How Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation? | Ali Araabi, Christof Monz, Vlad Niculae |
| 2022 | EMNLP | Mask More and Mask Later: Efficient Pre-training of Masked Language Models by Disentangling the [MASK] Token. | Baohao Liao, David Thulke, Sanjika Hewavitharana, Hermann Ney, Christof Monz |
| 2021 | EACL | NLQuAD: A Non-Factoid Long Question Answering Data Set. | Amir Soleimani, Christof Monz, Marcel Worring |
| 2020 | AAAI | RefNet: A Reference-Aware Network for Background Based Conversation. | Chuan Meng, Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke |
| 2020 | AAAI | Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation. | Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke |
| 2020 | COLING | Optimizing Transformer for Low-Resource Neural Machine Translation. | Ali Araabi, Christof Monz |
| 2020 | ECAI | Retrospective and Prospective Mixture-of-Generators for Task-Oriented Dialogue Response Generation. | Jiahuan Pei, Pengjie Ren, Christof Monz, Maarten de Rijke |
| 2020 | ECIR | BERT for Evidence Retrieval and Claim Verification. | Amir Soleimani, Christof Monz, Marcel Worring |
| 2019 | WWW | Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss. | Shaojie Jiang, Pengjie Ren, Christof Monz, Maarten de Rijke |
| 2018 | EMNLP | Back-Translation Sampling by Targeting Difficult Words in Neural Machine Translation. | Marzieh Fadaee, Christof Monz |
| 2018 | EMNLP | The importance of Being Recurrent for Modeling Hierarchical Structure. | Ke M. Tran, Arianna Bisazza, Christof Monz |
| 2018 | LREC | Examining the Tip of the Iceberg: A Data Set for Idiom Translation. | Marzieh Fadaee, Arianna Bisazza, Christof Monz |
| 2018 | LREC | Evaluation of Machine Translation Performance Across Multiple Genres and Languages. | Marlies van der Wees, Arianna Bisazza, Christof Monz |
| 2017 | ACL | Learning Topic-Sensitive Word Representations. | Marzieh Fadaee, Arianna Bisazza, Christof Monz |
| 2017 | ACL | Data Augmentation for Low-Resource Neural Machine Translation. | Marzieh Fadaee, Arianna Bisazza, Christof Monz |
| 2017 | EMNLP | Dynamic Data Selection for Neural Machine Translation. | Marlies van der Wees, Arianna Bisazza, Christof Monz |
| 2017 | IJCNLP | What does Attention in Neural Machine Translation Pay Attention to? | Hamidreza Ghader, Christof Monz |
| 2016 | ACL | Improving Statistical Machine Translation Performance by Oracle-BLEU Model Re-estimation. | Praveen Dakwale, Christof Monz |
| 2016 | AMTA | Which Words Matter in Defining Phrase Reordering Behavior in Statistical Machine Translation? | Hamidreza Ghader, Christof Monz |
| 2016 | COLING | Ensemble Learning for Multi-Source Neural Machine Translation. | Ekaterina Garmash, Christof Monz |
| 2016 | COLING | Measuring the Effect of Conversational Aspects on Machine Translation Quality. | Marlies van der Wees, Arianna Bisazza, Christof Monz |
| 2016 | NAACL | Recurrent Memory Networks for Language Modeling. | Ke M. Tran, Arianna Bisazza, Christof Monz |
| 2015 | ACL | What's in a Domain? Analyzing Genre and Topic Differences in Statistical Machine Translation. | Marlies van der Wees, Arianna Bisazza, Wouter Weerkamp, Christof Monz |
| 2015 | EMNLP | Bilingual Structured Language Models for Statistical Machine Translation. | Ekaterina Garmash, Christof Monz |
| 2014 | COLING | Class-Based Language Modeling for Translating into Morphologically Rich Languages. | Arianna Bisazza, Christof Monz |
| 2014 | EACL | Maximizing Component Quality in Bilingual Word-Aligned Segmentations. | Spyros Martzoukos, Christof Monz, Christophe Costa Florncio |
| 2014 | EMNLP | Dependency-Based Bilingual Language Models for Reordering in Statistical Machine Translation. | Ekaterina Garmash, Christof Monz |
| 2014 | EMNLP | Word Translation Prediction for Morphologically Rich Languages with Bilingual Neural Networks. | Ke M. Tran, Arianna Bisazza, Christof Monz |
| 2012 | EACL | User Edits Classification Using Document Revision Histories. | Amit Bronner, Christof Monz |
| 2012 | EACL | Power-Law Distributions for Paraphrases Extracted from Bilingual Corpora. | Spyros Martzoukos, Christof Monz |
| 2012 | EACL | Adaptation of Statistical Machine Translation Model for Cross-Lingual Information Retrieval in a Service Context. | Vassilina Nikoulina, Bogomil Kovachev, Nikolaos Lagos, Christof Monz |
| 2011 | EMNLP | Statistical Machine Translation with Local Language Models. | Christof Monz |
| 2010 | AMTA | Discriminative Syntactic Reranking for Statistical Machine Translation. | Simon Carter, Christof Monz |
| 2009 | EACL | Automatic Single-Document Key Fact Extraction from Newswire Articles. | Itamar Kastner, Christof Monz |
| 2009 | SIGIR | A comparison of retrieval-based hierarchical clustering approaches to person name disambiguation. | Christof Monz, Wouter Weerkamp |
| 2008 | ECIR | Applying Maximum Entropy to Known-Item Email Retrieval. | Sirvan Yahyaei, Christof Monz |
| 2007 | ECIR | Model Tree Learning for Query Term Weighting in Question Answering. | Christof Monz |
| 2006 | AMTA | Challenges in Building an Arabic-English GHMT System with SMT Components. | Nizar Habash, Bonnie J. Dorr, Christof Monz |
| 2005 | ACL | A Methodology for Extrinsic Evaluation of Text Summarization: Does ROUGE Correlate? | Bonnie J. Dorr, Christof Monz, Stacy President, Richard M. Schwartz, David M. Zajic |
| 2005 | ACL | Shared Task: Statistical Machine Translation between European Languages. | Philipp Koehn, Christof Monz |
| 2005 | NAACL | NeurAlign: Combining Word Alignments Using Neural Networks. | Necip Fazil Ayan, Bonnie J. Dorr, Christof Monz |
| 2005 | NAACL | Alignment Link Projection Using Transformation-Based Learning. | Necip Fazil Ayan, Bonnie J. Dorr, Christof Monz |
| 2005 | NAACL | The Hiero Machine Translation System: Extensions, Evaluation, and Analysis. | David Chiang, Adam Lopez, Nitin Madnani, Christof Monz, Philip Resnik, Michael Subotin |
| 2005 | SIGIR | Iterative translation disambiguation for cross-language information retrieval. | Christof Monz, Bonnie J. Dorr |
| 2003 | ECIR | Document Retrieval in the Context of Question Answering. | Christof Monz |
| 2001 | ACL | Document Fusion for Comprehensive Event Description. | Christof Monz |
| 1999 | TABLEAUX | A Tableau Calculus for Pronoun Resolution. | Christof Monz, Maarten de Rijke |
| 1998 | ECAI | Dynamic Semantics and Underspecification. | Christof Monz |
| 1998 | JELIA | A Resolution Calculus for Dynamic Semantics. | Christof Monz, Maarten de Rijke |
| 1998 | TABLEAUX | A Tableaux Calculus for Ambiguous Quantification. | Christof Monz, Maarten de Rijke |