NLPExplorer

Christof Monz

Number of Papers:- 108

Number of Citations:- 1013

First ACL Paper:- 2001

Latest ACL Paper:- 2024

Venues:-

NAACL

COLING

AMTA

MTSummit

EMNLP

HLT

WNUT

MoL

LREC

DiscoMT

ACL

EACL

WMT

NGT

IJCNLP

IWSLT

Co-Authors:-

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Mara Chinea Rios1

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Analyzing the Evaluation of Cross-Lingual Knowledge Transfer in Multilingual Language Models EACL

Sara Rajaee | Christof Monz |

Disentangling the Roles of Target-side Transfer and Regularization in Multilingual Machine Translation EACL

Yan Meng | Christof Monz |

How Far can 100 Samples Go? Unlocking Zero-Shot Translation with Tiny Multi-Parallel Data F i n d i n g s - A C L

The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities ACL

Communicating with Speakers and Listeners of Different Pragmatic Levels EMNLP

Kata Naszadi | Frans A Oliehoek | Christof Monz |

The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models F i n d i n g s - E M N L P

UvA-MT’s Participation in the WMT24 General Translation Shared Task WMT

ApiQ: Finetuning of 2-Bit Quantized Large Language Model EMNLP

Baohao Liao | Christian Herold | Shahram Khadivi | Christof Monz |

IKUN for WMT24 General MT Task: LLMs Are Here for Multilingual Machine Translation WMT

Baohao Liao | Christian Herold | Shahram Khadivi | Christof Monz |

Representational Isomorphism and Alignment of Multilingual Large Language Models F i n d i n g s - E M N L P

Di Wu | Yibin Lei | Andrew Yates | Christof Monz |

Proceedings of the Ninth Conference on Machine Translation WMT

Barry Haddow | Tom Kocmi | Philipp Koehn | Christof Monz |

Findings of the WMT24 General Machine Translation Shared Task: The LLM Era Is Here but MT Is Not Solved Yet WMT

Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation EMNLP

Shaomu Tan | Di Wu | Christof Monz |

Proceedings of the Eighth Conference on Machine Translation WMT

Philipp Koehn | Barry Haddow | Tom Kocmi | Christof Monz |

Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet WMT

UvA-MT’s Participation in the WMT 2023 General Translation Shared Task WMT

Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens F i n d i n g s - E M N L P

David Stap | Vlad Niculae | Christof Monz |

Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation EMNLP

Di Wu | Christof Monz |

NonFactS: NonFactual Summary Generation for Factuality Evaluation in Document Summarization F i n d i n g s - A C L

Amir Soleimani | Christof Monz | Marcel Worring |

Ask Language Model to Clean Your Noisy Translation Data F i n d i n g s - E M N L P

Multilingual k-Nearest-Neighbor Machine Translation EMNLP

David Stap | Christof Monz |

Aligning Predictive Uncertainty with Clarification Questions in Grounded Dialog F i n d i n g s - E M N L P

Kata Naszadi | Putra Manggala | Christof Monz |

Parameter-Efficient Fine-Tuning without Introducing New Latency ACL

Baohao Liao | Yan Meng | Christof Monz |

Towards a Better Understanding of Variations in Zero-Shot Neural Machine Translation Performance EMNLP

Shaomu Tan | Christof Monz |

How Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation? AMTA

Ali Araabi | Christof Monz | Vlad Niculae |

Mask More and Mask Later: Efficient Pre-training of Masked Language Models by Disentangling the [MASK] Token F i n d i n g s - E M N L P

Findings of the 2022 Conference on Machine Translation (WMT22) WMT

Proceedings of the Seventh Conference on Machine Translation (WMT) WMT

NLQuAD: A Non-Factoid Long Question Answering Data Set EACL

Amir Soleimani | Christof Monz | Marcel Worring |

Proceedings of the Sixth Conference on Machine Translation EMNLP WMT

Findings of the 2021 Conference on Machine Translation (WMT21) EMNLP WMT

The Unreasonable Volatility of Neural Machine Translation Models ACL NGT WS

Marzieh Fadaee | Christof Monz |

Optimizing Transformer for Low-Resource Neural Machine Translation COLING

Ali Araabi | Christof Monz |

Findings of the 2020 Conference on Machine Translation (WMT20) EMNLP WMT

Proceedings of the Fifth Conference on Machine Translation EMNLP WMT

Proceedings of the Fourth Conference on Machine Translation (Volume 1: Research Papers) ACL WMT WS

Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1) ACL WMT WS

Findings of the 2019 Conference on Machine Translation (WMT19) ACL WMT WS

Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2) ACL WMT WS

An Intrinsic Nearest Neighbor Analysis of Neural Machine Translation Architectures MTSummit WS

Hamidreza Ghader | Christof Monz |

Improving Neural Machine Translation Using Noisy Parallel Data through Distillation MTSummit WS

Praveen Dakwale | Christof Monz |

Back-Translation Sampling by Targeting Difficult Words in Neural Machine Translation EMNLP

Marzieh Fadaee | Christof Monz |

The Importance of Being Recurrent for Modeling Hierarchical Structure EMNLP

Ke Tran | Arianna Bisazza | Christof Monz |

Examining the Tip of the Iceberg: A Data Set for Idiom Translation LREC

Marzieh Fadaee | Arianna Bisazza | Christof Monz |

Evaluation of Machine Translation Performance Across Multiple Genres and Languages LREC

Marlies van der Wees | Arianna Bisazza | Christof Monz |

Proceedings of the Third Conference on Machine Translation: Research Papers EMNLP WMT WS

Findings of the 2018 Conference on Machine Translation (WMT18) EMNLP WMT WS

Dynamic Data Selection for Neural Machine Translation EMNLP

Marlies van der Wees | Arianna Bisazza | Christof Monz |

What does Attention in Neural Machine Translation Pay Attention to? IJCNLP

Hamidreza Ghader | Christof Monz |

Learning Topic-Sensitive Word Representations ACL

Marzieh Fadaee | Arianna Bisazza | Christof Monz |

Data Augmentation for Low-Resource Neural Machine Translation ACL

Marzieh Fadaee | Arianna Bisazza | Christof Monz |

Findings of the 2017 Conference on Machine Translation (WMT17) WMT WS

Fine-Tuning for Neural Machine Translation with Limited Degradation across In- and Out-of-Domain Data MTSummit

Praveen Dakwale | Christof Monz |

Ensemble Learning for Multi-Source Neural Machine Translation COLING

Ekaterina Garmash | Christof Monz |

Measuring the Effect of Conversational Aspects on Machine Translation Quality COLING

Marlies van der Wees | Arianna Bisazza | Christof Monz |

Recurrent Memory Networks for Language Modeling NAACL

Ke Tran | Arianna Bisazza | Christof Monz |

Improving Statistical Machine Translation Performance by Oracle-BLEU Model Re-estimation ACL

Praveen Dakwale | Christof Monz |

Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers WMT WS

Findings of the 2016 Conference on Machine Translation WMT WS