Christof Monz

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 99

Top Venues

CoRR

EMNLP

WMT

COLING

Publications

Yan Meng, Christof Monz
Disentangling the Roles of Target-Side Transfer and Regularization in Multilingual Machine Translation. CoRR (2024)
Xinyi Chen, Baohao Liao, Jirui Qi, Panagiotis Eustratiadis, Christof Monz, Arianna Bisazza, Maarten de Rijke
The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models. CoRR (2024)
Rochelle Choenni, Sara Rajaee, Christof Monz, Ekaterina Shutova
On the Evaluation Practices in Multilingual NLP: Can Machine Translation Offer an Alternative to Human Translations? CoRR (2024)
Shaomu Tan, Di Wu, Christof Monz
Neuron Specialization: Leveraging intrinsic task modularity for multilingual machine translation. CoRR (2024)
Sara Rajaee, Christof Monz
Analyzing the Evaluation of Cross-Lingual Knowledge Transfer in Multilingual Language Models. CoRR (2024)
Baohao Liao, Christof Monz
Is It a Free Lunch for Removing Outliers during Pretraining? CoRR (2024)
Baohao Liao, Christof Monz
ApiQ: Finetuning of 2-Bit Quantized Large Language Model. CoRR (2024)
Di Wu, Shaomu Tan, Yan Meng, David Stap, Christof Monz
How Far can 100 Samples Go? Unlocking Zero-Shot Translation with Tiny Multi-Parallel Data. ACL (Findings) (2024)
Yan Meng, Di Wu, Christof Monz
How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise on Machine Translation. CoRR (2024)
David Stap, Eva Hasler, Bill Byrne, Christof Monz, Ke Tran
The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities. ACL (1) (2024)
Yan Meng, Christof Monz
Disentangling the Roles of Target-side Transfer and Regularization in Multilingual Machine Translation. EACL (1) (2024)
Sara Rajaee, Christof Monz
Analyzing the Evaluation of Cross-Lingual Knowledge Transfer in Multilingual Language Models. EACL (1) (2024)
David Stap, Eva Hasler, Bill Byrne, Christof Monz, Ke M. Tran
The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities. CoRR (2024)
Di Wu, Shaomu Tan, Yan Meng, David Stap, Christof Monz
How Far Can 100 Samples Go? Unlocking Overall Zero-Shot Multilingual Translation via Tiny Multi-Parallel Data. CoRR (2024)
Di Wu, Shaomu Tan, David Stap, Ali Araabi, Christof Monz
UvA-MT's Participation in the WMT 2023 General Translation Shared Task. WMT (2023)
Baohao Liao, Yan Meng, Christof Monz
Parameter-Efficient Fine-Tuning without Introducing New Latency. CoRR (2023)
Quinten Bolding, Baohao Liao, Brandon James Denis, Jun Luo, Christof Monz
Ask Language Model to Clean Your Noisy Translation Data. CoRR (2023)
David Stap, Christof Monz
Multilingual k-Nearest-Neighbor Machine Translation. EMNLP (2023)
David Stap, Vlad Niculae, Christof Monz
Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens. CoRR (2023)
Shaomu Tan, Christof Monz
Towards a Better Understanding of Variations in Zero-Shot Neural Machine Translation Performance. EMNLP (2023)
Ali Araabi, Vlad Niculae, Christof Monz
Joint Dropout: Improving Generalizability in Low-Resource Neural Machine Translation through Phrase Pair Variables. CoRR (2023)
David Stap, Vlad Niculae, Christof Monz
Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens. EMNLP (Findings) (2023)
Di Wu, Shaomu Tan, David Stap, Ali Araabi, Christof Monz
UvA-MT's Participation in the WMT23 General Translation Shared Task. CoRR (2023)
Di Wu, Christof Monz
Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation. CoRR (2023)
Baohao Liao, Yan Meng, Christof Monz
Parameter-Efficient Fine-Tuning without Introducing New Latency. ACL (1) (2023)
Di Wu, Christof Monz
Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation. EMNLP (2023)
Quinten Bolding, Baohao Liao, Brandon James Denis, Jun Luo, Christof Monz
Ask Language Model to Clean Your Noisy Translation Data. EMNLP (Findings) (2023)
Amir Soleimani, Christof Monz, Marcel Worring
NonFactS: NonFactual Summary Generation for Factuality Evaluation in Document Summarization. ACL (Findings) (2023)
Baohao Liao, Shaomu Tan, Christof Monz
Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning. NeurIPS (2023)
Kata Naszádi, Putra Manggala, Christof Monz
Aligning Predictive Uncertainty with Clarification Questions in Grounded Dialog. EMNLP (Findings) (2023)
Baohao Liao, Shaomu Tan, Christof Monz
Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning. CoRR (2023)
David Stap, Christof Monz
Multilingual k-Nearest-Neighbor Machine Translation. CoRR (2023)
Tom Kocmi, Eleftherios Avramidis, Rachel Bawden, Ondrej Bojar, Anton Dvorkovich, Christian Federmann, Mark Fishel, Markus Freitag, Thamme Gowda, Roman Grundkiewicz, Barry Haddow, Philipp Koehn, Benjamin Marie, Christof Monz, Makoto Morishita, Kenton Murray, Makoto Nagata, Toshiaki Nakazawa, Martin Popel, Maja Popovic, Mariya Shmatova
Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet. WMT (2023)
Shaomu Tan, Christof Monz
Towards a Better Understanding of Variations in Zero-Shot Neural Machine Translation Performance. CoRR (2023)
Ali Araabi, Christof Monz, Vlad Niculae
How Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation? AMTA (2022)
Baohao Liao, David Thulke, Sanjika Hewavitharana, Hermann Ney, Christof Monz
Mask More and Mask Later: Efficient Pre-training of Masked Language Models by Disentangling the [MASK] Token. CoRR (2022)
Tom Kocmi, Rachel Bawden, Ondrej Bojar, Anton Dvorkovich, Christian Federmann, Mark Fishel, Thamme Gowda, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Rebecca Knowles, Philipp Koehn, Christof Monz, Makoto Morishita, Masaaki Nagata, Toshiaki Nakazawa, Michal Novák, Martin Popel, Maja Popovic
Findings of the 2022 Conference on Machine Translation (WMT22). WMT (2022)
Baohao Liao, David Thulke, Sanjika Hewavitharana, Hermann Ney, Christof Monz
Mask More and Mask Later: Efficient Pre-training of Masked Language Models by Disentangling the [MASK] Token. EMNLP (Findings) (2022)
Ali Araabi, Christof Monz, Vlad Niculae
How Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation? CoRR (2022)
Amir Soleimani, Christof Monz, Marcel Worring
NLQuAD: A Non-Factoid Long Question Answering Data Set. EACL (2021)
Farhad Akhbardeh, Arkady Arkhangorodsky, Magdalena Biesialska, Ondrej Bojar, Rajen Chatterjee, Vishrav Chaudhary, Marta R. Costa-jussà, Cristina España-Bonet, Angela Fan, Christian Federmann, Markus Freitag, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Leonie Harter, Kenneth Heafield, Christopher Homan, Matthias Huck, Kwabena Amponsah-Kaakyire, Jungo Kasai, Daniel Khashabi, Kevin Knight, Tom Kocmi, Philipp Koehn, Nicholas Lourie, Christof Monz, Makoto Morishita, Masaaki Nagata, Ajay Nagesh, Toshiaki Nakazawa, Matteo Negri, Santanu Pal, Allahsera Auguste Tapo, Marco Turchi, Valentin Vydrin, Marcos Zampieri
Findings of the 2021 Conference on Machine Translation (WMT21). WMT@EMNLP (2021)
Pengjie Ren, Zhumin Chen, Zhaochun Ren, Evangelos Kanoulas, Christof Monz, Maarten de Rijke
Conversations with Search Engines: SERP-based Conversational Response Generation. ACM Trans. Inf. Syst. 39 (4) (2021)
Ali Araabi, Christof Monz
Optimizing Transformer for Low-Resource Neural Machine Translation. CoRR (2020)
Ali Araabi, Christof Monz
Optimizing Transformer for Low-Resource Neural Machine Translation. COLING (2020)
Pengjie Ren, Zhumin Chen, Zhaochun Ren, Evangelos Kanoulas, Christof Monz, Maarten de Rijke
Conversations with Search Engines. CoRR (2020)
Jiahuan Pei, Pengjie Ren, Christof Monz, Maarten de Rijke
Retrospective and Prospective Mixture-of-Generators for Task-Oriented Dialogue Response Generation. ECAI (2020)
Marzieh Fadaee, Christof Monz
The Unreasonable Volatility of Neural Machine Translation Models. CoRR (2020)
Amir Soleimani, Christof Monz, Marcel Worring
BERT for Evidence Retrieval and Claim Verification. ECIR (2) (2020)
Chuan Meng, Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke
RefNet: A Reference-Aware Network for Background Based Conversation. AAAI (2020)
Loïc Barrault, Magdalena Biesialska, Ondrej Bojar, Marta R. Costa-jussà, Christian Federmann, Yvette Graham, Roman Grundkiewicz, Barry Haddow, Matthias Huck, Eric Joanis, Tom Kocmi, Philipp Koehn, Chi-kiu Lo, Nikola Ljubesic, Christof Monz, Makoto Morishita, Masaaki Nagata, Toshiaki Nakazawa, Santanu Pal, Matt Post, Marcos Zampieri
Findings of the 2020 Conference on Machine Translation (WMT20). WMT@EMNLP (2020)
Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke
Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation. AAAI (2020)
Zeynep Akata, Dan Balliet, Maarten de Rijke, Frank Dignum, Virginia Dignum, Guszti Eiben, Antske Fokkens, Davide Grossi, Koen V. Hindriks, Holger H. Hoos, Hayley Hung, Catholijn M. Jonker, Christof Monz, Mark A. Neerincx, Frans A. Oliehoek, Henry Prakken, Stefan Schlobach, Linda C. van der Gaag, Frank van Harmelen, Herke van Hoof, Birna van Riemsdijk, Aimee van Wynsberghe, Rineke Verbrugge, Bart Verheij, Piek Vossen, Max Welling
A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence. Computer 53 (8) (2020)
Marzieh Fadaee, Christof Monz
The Unreasonable Volatility of Neural Machine Translation Models. NGT@ACL (2020)
Shaojie Jiang, Thomas Wolf, Christof Monz, Maarten de Rijke
TLDR: Token Loss Dynamic Reweighting for Reducing Repetitive Utterance Generation. CoRR (2020)
Amir Soleimani, Christof Monz, Marcel Worring
BERT for Evidence Retrieval and Claim Verification. CoRR (2019)
Hamidreza Ghader, Christof Monz
An Intrinsic Nearest Neighbor Analysis of Neural Machine Translation Architectures. CoRR (2019)
Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke
Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation. CoRR (2019)
Chuan Meng, Pengjie Ren, Zhumin Chen, Christof Monz, Jun Ma, Maarten de Rijke
RefNet: A Reference-aware Network for Background Based Conversation. CoRR (2019)
Praveen Dakwale, Christof Monz
Improving Neural Machine Translation Using Noisy Parallel Data through Distillation. MTSummit (1) (2019)
Shaojie Jiang, Pengjie Ren, Christof Monz, Maarten de Rijke
Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss. CoRR (2019)
Hamidreza Ghader, Christof Monz
An Intrinsic Nearest Neighbor Analysis of Neural Machine Translation Architectures. MTSummit (1) (2019)
Shaojie Jiang, Pengjie Ren, Christof Monz, Maarten de Rijke
Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss. WWW (2019)
Jiahuan Pei, Pengjie Ren, Christof Monz, Maarten de Rijke
Retrospective and Prospective Mixture-of-Generators for Task-oriented Dialogue Response Generation. CoRR (2019)
Loïc Barrault, Ondrej Bojar, Marta R. Costa-jussà, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Matthias Huck, Philipp Koehn, Shervin Malmasi, Christof Monz, Mathias Müller, Santanu Pal, Matt Post, Marcos Zampieri
Findings of the 2019 Conference on Machine Translation (WMT19). WMT (2) (2019)
Marzieh Fadaee, Arianna Bisazza, Christof Monz
Examining the Tip of the Iceberg: A Data Set for Idiom Translation. LREC (2018)
Marzieh Fadaee, Christof Monz
Back-Translation Sampling by Targeting Difficult Words in Neural Machine Translation. EMNLP (2018)
Ke M. Tran, Arianna Bisazza, Christof Monz
The importance of Being Recurrent for Modeling Hierarchical Structure. EMNLP (2018)
Marlies van der Wees, Arianna Bisazza, Christof Monz
Evaluation of Machine Translation Performance Across Multiple Genres and Languages. LREC (2018)
Ondrej Bojar, Christian Federmann, Mark Fishel, Yvette Graham, Barry Haddow, Philipp Koehn, Christof Monz
Findings of the 2018 Conference on Machine Translation (WMT18). WMT (shared task) (2018)
Marzieh Fadaee, Christof Monz
Back-Translation Sampling by Targeting Difficult Words in Neural Machine Translation. CoRR (2018)
Ke M. Tran, Arianna Bisazza, Christof Monz
The Importance of Being Recurrent for Modeling Hierarchical Structure. CoRR (2018)
Marzieh Fadaee, Arianna Bisazza, Christof Monz
Examining the Tip of the Iceberg: A Data Set for Idiom Translation. CoRR (2018)
Marzieh Fadaee, Arianna Bisazza, Christof Monz
Learning Topic-Sensitive Word Representations. ACL (2) (2017)
Marzieh Fadaee, Arianna Bisazza, Christof Monz
Data Augmentation for Low-Resource Neural Machine Translation. CoRR (2017)
Ondrej Bojar, Rajen Chatterjee, Christian Federmann, Yvette Graham, Barry Haddow, Shujian Huang, Matthias Huck, Philipp Koehn, Qun Liu, Varvara Logacheva, Christof Monz, Matteo Negri, Matt Post, Raphael Rubino, Lucia Specia, Marco Turchi
Findings of the 2017 Conference on Machine Translation (WMT17). WMT (2017)
Marlies van der Wees, Arianna Bisazza, Christof Monz
Dynamic Data Selection for Neural Machine Translation. EMNLP (2017)
Marlies van der Wees, Arianna Bisazza, Christof Monz
Dynamic Data Selection for Neural Machine Translation. CoRR (2017)
Praveen Dakwale, Christof Monz
Fine-Tuning for Neural Machine Translation with Limited Degradation across In- and Out-of-Domain Data. MTSummit (1) (2017)
Hamidreza Ghader, Christof Monz
What does Attention in Neural Machine Translation Pay Attention to? IJCNLP(1) (2017)
Praveen Dakwale, Christof Monz
Convolutional over Recurrent Encoder for Neural Machine Translation. Prague Bull. Math. Linguistics 108 (2017)
Marzieh Fadaee, Arianna Bisazza, Christof Monz
Data Augmentation for Low-Resource Neural Machine Translation. ACL (2) (2017)
Hamidreza Ghader, Christof Monz
What does Attention in Neural Machine Translation Pay Attention to? CoRR (2017)
Marzieh Fadaee, Arianna Bisazza, Christof Monz
Learning Topic-Sensitive Word Representations. CoRR (2017)
Ondrej Bojar, Rajen Chatterjee, Christian Federmann, Yvette Graham, Barry Haddow, Matthias Huck, Antonio Jimeno-Yepes, Philipp Koehn, Varvara Logacheva, Christof Monz, Matteo Negri, Aurélie Névéol, Mariana L. Neves, Martin Popel, Matt Post, Raphael Rubino, Carolina Scarton, Lucia Specia, Marco Turchi, Karin Verspoor, Marcos Zampieri
Findings of the 2016 Conference on Machine Translation. WMT (2016)
Marlies van der Wees, Arianna Bisazza, Christof Monz
Measuring the Effect of Conversational Aspects on Machine Translation Quality. COLING (2016)
Ekaterina Garmash, Christof Monz
Ensemble Learning for Multi-Source Neural Machine Translation. COLING (2016)
Ke M. Tran, Arianna Bisazza, Christof Monz
Recurrent Memory Network for Language Modeling. CoRR (2016)
Hendrik Heuer, Christof Monz, Arnold W. M. Smeulders
Generating captions without looking beyond objects. CoRR (2016)
Marlies van der Wees, Arianna Bisazza, Christof Monz
A Simple but Effective Approach to Improve Arabizi-to-English Statistical Machine Translation. NUT@COLING (2016)
Jerome R. Bellegarda, Christof Monz
State of the art in statistical methods for language and speech processing. Comput. Speech Lang. 35 (2016)
Praveen Dakwale, Christof Monz
Improving Statistical Machine Translation Performance by Oracle-BLEU Model Re-estimation. ACL (2) (2016)
Hamidreza Ghader, Christof Monz
Which Words Matter in Defining Phrase Reordering Behavior in Statistical Machine Translation? AMTA (1) (2016)
Ke M. Tran, Arianna Bisazza, Christof Monz
Recurrent Memory Networks for Language Modeling. HLT-NAACL (2016)
Marlies van der Wees, Arianna Bisazza, Wouter Weerkamp, Christof Monz
What's in a Domain? Analyzing Genre and Topic Differences in Statistical Machine Translation. ACL (2) (2015)
Ondrej Bojar, Rajen Chatterjee, Christian Federmann, Barry Haddow, Matthias Huck, Chris Hokamp, Philipp Koehn, Varvara Logacheva, Christof Monz, Matteo Negri, Matt Post, Carolina Scarton, Lucia Specia, Marco Turchi
Findings of the 2015 Workshop on Statistical Machine Translation. WMT@EMNLP (2015)
Marlies van der Wees, Arianna Bisazza, Christof Monz
Five Shades of Noise: Analyzing Machine Translation Errors in User-Generated Text. NUT@IJCNLP (2015)
Ekaterina Garmash, Christof Monz
Bilingual Structured Language Models for Statistical Machine Translation. EMNLP (2015)
Ke M. Tran, Arianna Bisazza, Christof Monz
A distributed inflection model for translating into morphologically rich languages. MTSummit (2015)
Marlies van der Wees, Arianna Bisazza, Christof Monz
Translation Model Adaptation Using Genre-Revealing Text Features. DiscoMT@EMNLP (2015)
Spyros Martzoukos, Christof Monz, Christophe Costa Florêncio
Maximizing Component Quality in Bilingual Word-Aligned Segmentations. EACL (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Christof Monz