NLPExplorer

Markus Freitag

Number of Papers:- 71

Number of Citations:- 81

First ACL Paper:- 2011

Latest ACL Paper:- 2024

Venues:-

NAACL

COLING

MTSummit

EMNLP

Findings

HumEval

TACL

ACL

SSST

EACL

WMT

EAMT

IWSLT

NMT

Co-Authors:-

Similar Authors:-

LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback F i n d i n g s - N A A C L

Finding Replicable Human Evaluations via Stable Ranking Probability NAACL

Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model ACL

Mitigating Metric Bias in Minimum Bayes Risk Decoding WMT

Geza Kovacs | Daniel Deutsch | Markus Freitag |

Translating Step-by-Step: Decomposing the Translation Process for Improved Translation Quality of Long-Form Texts WMT

Eleftheria Briakou | Jiaming Luo | Colin Cherry | Markus Freitag |

Introducing the NewsPaLM MBR and QE Dataset: LLM-Generated High-Quality Parallel Data Outperforms Traditional Web-Crawled Data WMT

Mara Finkelstein | David Vilar | Markus Freitag |

Findings of the Quality Estimation Shared Task at WMT 2024: Are LLMs Closing the Gap in QE? WMT

MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task WMT

Juraj Juraska | Daniel Deutsch | Mara Finkelstein | Markus Freitag |

Are LLMs Breaking MT Metrics? Results of the WMT24 Metrics Shared Task WMT

Beyond Human-Only: Evaluating Human-Machine Collaboration for Collecting High-Quality Translation Data WMT

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

Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level WMT

Daniel Deutsch | Juraj Juraska | Mara Finkelstein | Markus Freitag |

MetricX-23: The Google Submission to the WMT 2023 Metrics Shared Task WMT

Quality Estimation Using Minimum Bayes Risk WMT

Subhajit Naskar | Daniel Deutsch | Markus Freitag |

There’s No Data like Better Data: Using QE Metrics for MT Data Filtering WMT

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

Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not Innocent WMT

The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation WMT

Findings of the WMT 2023 Shared Task on Automatic Post-Editing WMT

Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation F i n d i n g s - E M N L P

Markus Freitag | Behrooz Ghorbani | Patrick Fernandes |

INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback EMNLP

Ties Matter: Meta-Evaluating Modern Metrics with Pairwise Accuracy and Tie Calibration EMNLP

Daniel Deutsch | George Foster | Markus Freitag |

Prompting PaLM for Translation: Assessing Strategies and Performance ACL

Toward More Effective Human Evaluation for Machine Translation ACL HumEval

Belén Saldías Fuentes | George Foster | Markus Freitag | Qijun Tan |

A Natural Diet: Towards Improving Naturalness of Machine Translation Output ACL Findings

Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance NAACL

On Systematic Style Differences between Unsupervised and Supervised MT and an Application for High-Resource Machine Translation NAACL

Kelly Marchisio | Markus Freitag | David Grangier |

High Quality Rather than High Model Probability: Minimum Bayes Risk Decoding with Neural Metrics TACL

Markus Freitag | David Grangier | Qijun Tan | Bowen Liang |

Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust WMT

Findings of the WMT 2022 Shared Task on Automatic Post-Editing WMT

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

Assessing Reference-Free Peer Evaluation for Machine Translation NAACL

Sweta Agrawal | George Foster | Markus Freitag | Colin Cherry |

Proceedings of the Sixth Conference on Machine Translation EMNLP WMT

Results of the WMT21 Metrics Shared Task: Evaluating Metrics with Expert-based Human Evaluations on TED and News Domain EMNLP WMT

Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation TACL

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

Translationese as a Language in “Multilingual” NMT ACL

Parker Riley | Isaac Caswell | Markus Freitag | David Grangier |

BLEU might be Guilty but References are not Innocent EMNLP

Markus Freitag | David Grangier | Isaac Caswell |

Learning to Evaluate Translation Beyond English: BLEURT Submissions to the WMT Metrics 2020 Shared Task EMNLP WMT

Complete Multilingual Neural Machine Translation EMNLP WMT

Markus Freitag | Orhan Firat |

Findings of the WMT 2020 Shared Task on Automatic Post-Editing EMNLP WMT

Rajen Chatterjee | Markus Freitag | Matteo Negri | Marco Turchi |

Results of the WMT20 Metrics Shared Task EMNLP WMT

KoBE: Knowledge-Based Machine Translation Evaluation EMNLP Findings

Human-Paraphrased References Improve Neural Machine Translation EMNLP WMT

Markus Freitag | George Foster | David Grangier | Colin Cherry |

APE at Scale and Its Implications on MT Evaluation Biases ACL WMT WS

Markus Freitag | Isaac Caswell | Scott Roy |

Unsupervised Natural Language Generation with Denoising Autoencoders EMNLP

Markus Freitag | Scott Roy |

Beam Search Strategies for Neural Machine Translation NMT WS

Markus Freitag | Yaser Al-Onaizan |

Local System Voting Feature for Machine Translation System Combination WMT WS

Jane: Open Source Machine Translation System Combination EACL

Markus Freitag | Matthias Huck | Hermann Ney |

EU-BRIDGE MT: Combined Machine Translation WMT WS

The RWTH Aachen German-English Machine Translation System for WMT 2014 WMT WS

Stephan Peitz | Joern Wuebker | Markus Freitag | Hermann Ney |

Better punctuation prediction with hierarchical phrase-based translation IWSLT

Stephan Peitz | Markus Freitag | Hermann Ney |

Combined spoken language translation IWSLT