---
title: "Markus Freitag — papers of 2023 — 6 papers, the most cited first"
description: "Markus Freitag — papers of 2023: 6 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Markus Freitag — papers of 2023 — 6 papers, the most cited first

6 papers · [all years of Markus Freitag](https://md.research.elamur.ai/free/en/authors/markus-freitag/#years)

**[The Devil Is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation](https://md.research.elamur.ai/free/en/papers/fernandes-2023-devil-is-errors-leveraging-large/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Patrick Fernandes, Daniel Deutsch, Mara Finkelstein, et al.*2023 · 158 citations*

**[Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not Innocent](https://md.research.elamur.ai/free/en/papers/freitag-2023-results-wmt23-metrics-shared-task/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Markus Freitag, Nitika Mathur, Chi-kiu Lo, et al.*2023 · 155 citations*

**[INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback](https://md.research.elamur.ai/free/en/papers/xu-2023-instructscore-explainable-text-generation-evaluation/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Wenda Xu, Danqing Wang, Liangming Pan, et al.*2023 · 123 citations*

**[MetricX-23: The Google Submission to the WMT 2023 Metrics Shared Task](https://md.research.elamur.ai/free/en/papers/juraska-2023-metricx-23-google-submission-wmt/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Juraj Juraska, Mara Finkelstein, Daniel Deutsch, et al.*2023 · 118 citations*

**[Ties Matter: Meta-Evaluating Modern Metrics with Pairwise Accuracy and Tie Calibration](https://md.research.elamur.ai/free/en/papers/deutsch-2023-ties-matter-meta-evaluating-modern/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Daniel Deutsch, George Foster, Markus Freitag*2023 · 76 citations*

- [MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods arXiv:2309.10966](https://md.research.elamur.ai/free/en/papers/finkelstein-2023-mbr-qe-finetuning-training-time/) — Mara Finkelstein; Subhajit Naskar; Mehdi Mirzazadeh; Apurva Shah;, Markus Freitag · 2023 · 32 citations