Saved in:
| Main Authors: | Song, Yixiao, Riley, Parker, Deutsch, Daniel, Freitag, Markus |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.17797 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Beyond Human-Only: Evaluating Human-Machine Collaboration for Collecting High-Quality Translation Data
by: Liu, Zhongtao, et al.
Published: (2024)
by: Liu, Zhongtao, et al.
Published: (2024)
MQM Re-Annotation: A Technique for Collaborative Evaluation of Machine Translation
by: Riley, Parker, et al.
Published: (2025)
by: Riley, Parker, et al.
Published: (2025)
Finding Replicable Human Evaluations via Stable Ranking Probability
by: Riley, Parker, et al.
Published: (2024)
by: Riley, Parker, et al.
Published: (2024)
Generating Difficult-to-Translate Texts
by: Zouhar, Vilém, et al.
Published: (2025)
by: Zouhar, Vilém, et al.
Published: (2025)
From Jack of All Trades to Master of One: Specializing LLM-based Autoraters to a Test Set
by: Finkelstein, Mara, et al.
Published: (2024)
by: Finkelstein, Mara, et al.
Published: (2024)
Overestimation in LLM Evaluation: A Controlled Large-Scale Study on Data Contamination's Impact on Machine Translation
by: Kocyigit, Muhammed Yusuf, et al.
Published: (2025)
by: Kocyigit, Muhammed Yusuf, et al.
Published: (2025)
Mitigating Metric Bias in Minimum Bayes Risk Decoding
by: Kovacs, Geza, et al.
Published: (2024)
by: Kovacs, Geza, et al.
Published: (2024)
MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task
by: Juraska, Juraj, et al.
Published: (2024)
by: Juraska, Juraj, et al.
Published: (2024)
When LLMs Benchmark Themselves: Deconstructing Self-Bias in Automated Evaluation
by: Xu, Wenda, et al.
Published: (2025)
by: Xu, Wenda, et al.
Published: (2025)
MetricX-25 and GemSpanEval: Google Translate Submissions to the WMT25 Evaluation Shared Task
by: Juraska, Juraj, et al.
Published: (2025)
by: Juraska, Juraj, et al.
Published: (2025)
On the Implications of Verbose LLM Outputs: A Case Study in Translation Evaluation
by: Briakou, Eleftheria, et al.
Published: (2024)
by: Briakou, Eleftheria, et al.
Published: (2024)
TranslateGemma Technical Report
by: Finkelstein, Mara, et al.
Published: (2026)
by: Finkelstein, Mara, et al.
Published: (2026)
Translating Step-by-Step: Decomposing the Translation Process for Improved Translation Quality of Long-Form Texts
by: Briakou, Eleftheria, et al.
Published: (2024)
by: Briakou, Eleftheria, et al.
Published: (2024)
Feeding Two Birds or Favoring One? Adequacy-Fluency Tradeoffs in Evaluation and Meta-Evaluation of Machine Translation
by: Shayegh, Behzad, et al.
Published: (2025)
by: Shayegh, Behzad, et al.
Published: (2025)
Mind the Gap... or Not? How Translation Errors and Evaluation Details Skew Multilingual Results
by: Peter, Jan-Thorsten, et al.
Published: (2025)
by: Peter, Jan-Thorsten, et al.
Published: (2025)
Judgment of Learning: A Human Ability Beyond Generative Artificial Intelligence
by: Huff, Markus, et al.
Published: (2024)
by: Huff, Markus, et al.
Published: (2024)
Improving Statistical Significance in Human Evaluation of Automatic Metrics via Soft Pairwise Accuracy
by: Thompson, Brian, et al.
Published: (2024)
by: Thompson, Brian, et al.
Published: (2024)
AI-Assisted Human Evaluation of Machine Translation
by: Zouhar, Vilém, et al.
Published: (2024)
by: Zouhar, Vilém, et al.
Published: (2024)
Comparative Evaluation of Machine Translation Systems on Images with Text
by: Puchol, Blai, et al.
Published: (2026)
by: Puchol, Blai, et al.
Published: (2026)
Don't Sweat the Small Stuff: Segment-Level Meta-Evaluation Based on Pairwise Difference Correlation
by: DiIanni, Colten, et al.
Published: (2025)
by: DiIanni, Colten, et al.
Published: (2025)
Preliminary Ranking of WMT25 General Machine Translation Systems
by: Kocmi, Tom, et al.
Published: (2025)
by: Kocmi, Tom, et al.
Published: (2025)
WMT24++: Expanding the Language Coverage of WMT24 to 55 Languages & Dialects
by: Deutsch, Daniel, et al.
Published: (2025)
by: Deutsch, Daniel, et al.
Published: (2025)
You Cannot Feed Two Birds with One Score: the Accuracy-Naturalness Tradeoff in Translation
by: Flamich, Gergely, et al.
Published: (2025)
by: Flamich, Gergely, et al.
Published: (2025)
Context-Aware Monolingual Human Evaluation of Machine Translation
by: Picinini, Silvio, et al.
Published: (2025)
by: Picinini, Silvio, et al.
Published: (2025)
LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback
by: Xu, Wenda, et al.
Published: (2023)
by: Xu, Wenda, et al.
Published: (2023)
Convergences and Divergences between Automatic Assessment and Human Evaluation: Insights from Comparing ChatGPT-Generated Translation and Neural Machine Translation
by: Jiang, Zhaokun, et al.
Published: (2024)
by: Jiang, Zhaokun, et al.
Published: (2024)
Estonian WinoGrande Dataset: Comparative Analysis of LLM Performance on Human and Machine Translation
by: Ojastu, Marii, et al.
Published: (2025)
by: Ojastu, Marii, et al.
Published: (2025)
VERISCORE: Evaluating the factuality of verifiable claims in long-form text generation
by: Song, Yixiao, et al.
Published: (2024)
by: Song, Yixiao, et al.
Published: (2024)
Exploring the Correlation between Human and Machine Evaluation of Simultaneous Speech Translation
by: Wang, Xiaoman, et al.
Published: (2024)
by: Wang, Xiaoman, et al.
Published: (2024)
How Many Human Judgments Are Enough? Feasibility Limits of Human Preference Evaluation
by: Lee, Wilson Y.
Published: (2026)
by: Lee, Wilson Y.
Published: (2026)
On Temperature-Constrained Non-Deterministic Machine Translation: Potential and Evaluation
by: Wang, Weichuan, et al.
Published: (2026)
by: Wang, Weichuan, et al.
Published: (2026)
On the Evaluation Practices in Multilingual NLP: Can Machine Translation Offer an Alternative to Human Translations?
by: Choenni, Rochelle, et al.
Published: (2024)
by: Choenni, Rochelle, et al.
Published: (2024)
"Be My Cheese?": Cultural Nuance Benchmarking for Machine Translation in Multilingual LLMs
by: Van Doren, Madison, et al.
Published: (2026)
by: Van Doren, Madison, et al.
Published: (2026)
Remedy: Learning Machine Translation Evaluation from Human Preferences with Reward Modeling
by: Tan, Shaomu, et al.
Published: (2025)
by: Tan, Shaomu, et al.
Published: (2025)
Error Span Annotation: A Balanced Approach for Human Evaluation of Machine Translation
by: Kocmi, Tom, et al.
Published: (2024)
by: Kocmi, Tom, et al.
Published: (2024)
A Human-AI Comparative Analysis of Prompt Sensitivity in LLM-Based Relevance Judgment
by: Arabzadeh, Negar, et al.
Published: (2025)
by: Arabzadeh, Negar, et al.
Published: (2025)
Has Machine Translation Evaluation Achieved Human Parity? The Human Reference and the Limits of Progress
by: Proietti, Lorenzo, et al.
Published: (2025)
by: Proietti, Lorenzo, et al.
Published: (2025)
Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model
by: Tomani, Christian, et al.
Published: (2023)
by: Tomani, Christian, et al.
Published: (2023)
Enhancing Neural Machine Translation of Low-Resource Languages: Corpus Development, Human Evaluation and Explainable AI Architectures
by: Lankford, Séamus
Published: (2024)
by: Lankford, Séamus
Published: (2024)
The Comparison of Translationese in Machine Translation and Human Transation in terms of Translation Relations
by: Zhou, Fan
Published: (2024)
by: Zhou, Fan
Published: (2024)
Similar Items
-
Beyond Human-Only: Evaluating Human-Machine Collaboration for Collecting High-Quality Translation Data
by: Liu, Zhongtao, et al.
Published: (2024) -
MQM Re-Annotation: A Technique for Collaborative Evaluation of Machine Translation
by: Riley, Parker, et al.
Published: (2025) -
Finding Replicable Human Evaluations via Stable Ranking Probability
by: Riley, Parker, et al.
Published: (2024) -
Generating Difficult-to-Translate Texts
by: Zouhar, Vilém, et al.
Published: (2025) -
From Jack of All Trades to Master of One: Specializing LLM-based Autoraters to a Test Set
by: Finkelstein, Mara, et al.
Published: (2024)