Who cites «Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust»

251 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

Creativity Bias: How Machine Evaluation Struggles with Creativity in Literary Translations — 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)
Diagnose, Then Repair: A Two-Stage MQM-Guided Post-Editing Framework for Domain-Specific Machine Translation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 6: Industry Track)
Document Summarization for AI-based Post-Editing — 2026 · Proceedings of the 17th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
Dynamic Meta-Metrics: Source-Sentence Conditioned Weighting for MT Evaluation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
Evaluating LLM-Based Translation of a Low-Resource Technical Language: The Medical and Philosophical Greek of Galen — 2026 · arXiv:2602.24119
Evaluating Large Language Models for Hausa and Fongbe Machine Translation: Benchmarks, Failures, and Metric Reliability — 2026 · arXiv:2606.22269
From Outliers to Errors: Auditing Pali-to-English LLM Translations with Multi-Reference Adjudication — 2026 · arXiv:2606.01136
From Words to Worlds: Benchmarking Cross-Cultural Cultural Understanding in Machine Translation — 2026 · arXiv:2603.17303
Grammar as Control: Modular Language Generation for the Long Tail — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
HydraQE: OSU''s Submission for the IWSLT 2026 Speech Translation Metrics Shared Task — 2026 · Proceedings of the 23rd International Conference on Spoken Language Translation (IWSLT 2026)
Is Human Annotation Necessary? Iterative MBR Distillation for Error Span Detection in Machine Translation — 2026 · arXiv:2603.12983
JP-TL-Bench: Anchored Pairwise LLM Evaluation for Bidirectional Japanese-English Translation — 2026 · arXiv:2601.00223
KinyCOMET: Automatic Evaluation of Machine Translation Systems for Kinyarwanda–English — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
LLM as a Meta-Judge: Synthetic Data for NLP Evaluation Metric Validation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)
Large Language Models as Annotators for Machine Translation Quality Estimation — 2026 · arXiv:2603.10775
MO-GRPO: Mitigating Reward Hacking of Group Relative Policy Optimization on Multi-Objective Problems — 2026 · Transactions of the Association for Computational Linguistics
MQM Re-Annotation: A Technique for Collaborative Evaluation of Machine Translation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
MT$^3$: A Synergistic Multi-Task RL Framework for Specializing MLLMs in Text Image Machine Translation — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
MeSHClass-ES and AnatEM-ES: Open Resources for Spanish Biomedical NLP — 2026 · BioNLP 2026
MetaDocEval: A Contrastive Framework for Evaluating Machine Translation Metrics at the Document-Level — 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)
Mind Which Bird You Favour: Parameterizing Adequacy-Fluency Balance in Meta-Evaluation of Machine Translation — 2026 · arXiv:2609.14795
Never Truly Out of Fashion: A Retrospective Look at Evaluation in NLG — 2026 · Proceedings of the 1st Symposium on Natural Language Generation Evaluations
One Pair Suffices: Unlocking Universal Zero-Shot Translation via Cross-Architecture Alignment — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
PaliBench: A Multi-Reference Blueprint for Classical Language Translation Benchmarks — 2026 · arXiv:2605.16881
Professional Translators Versus Quality Estimation Models: Reliability and Agreement in English-Ukrainian Translation Evaluation — 2026 · Proceedings of the Fifth Ukrainian Natural Language Processing Conference (UNLP 2026)
Remedy-R: Generative Reasoning for Machine Translation Evaluation without Error Annotations — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
Scoring the Translation: On Target Automatic Keyword-Based Evaluation of Machine Translation in the Sports Domain — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
Semantic Fidelity Versus Literary Quality: A Construct Validity Study of Neural Machine Translation Metrics — 2026 · Proceedings of the Fifth Ukrainian Natural Language Processing Conference (UNLP 2026)
Span-Level Machine Translation Meta-Evaluation — 2026 · arXiv:2603.19921
SrcMix: Mixing of Related Source Languages Benefits Extremely Low-resource Machine Translation — 2026 · Findings of the Association for Computational Linguistics: EACL 2026
TQLite: Multi-LLM Jury Guided Distillation for Real-time MQM Translation Quality Evaluation — 2026 · arXiv:2608.02975
VietMix: A Naturally-Occurring Parallel Corpus and Augmentation Framework for Vietnamese-English Code-Mixed Machine Translation — 2026 · Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
Who Watches the Watchmen? Humans Disagree With Translation Metrics on Unseen Domains — 2026 · Findings of the Association for Computational Linguistics: ACL 2026
(Dis)improved?! How Simplified Language Affects Large Language Model Performance across Languages — 2025 · Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM\texttwosuperior)
A Representation Level Analysis of NMT Model Robustness to Grammatical Errors — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Adding Chocolate to Mint: Mitigating Metric Interference in Machine Translation — 2025 · Transactions of the Association for Computational Linguistics
Analyzing and Evaluating Correlation Measures in NLG Meta-Evaluation — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Are Generative Models Underconfident? Better Quality Estimation with Boosted Model Probability — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Auto-Weighted Group Relative Preference Optimization for Multi-Objective Text Generation Tasks — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track
BLEUBERI: BLEU is a surprisingly effective reward for instruction following — 2025 · arXiv:2505.11080
Better Late Than Never: Meta-Evaluation of Latency Metrics for Simultaneous Speech-to-Text Translation — 2025 · arXiv:2509.17349
COMET-poly: Machine Translation Metric Grounded in Other Candidates — 2025 · Proceedings of the Tenth Conference on Machine Translation
CRPO: Confidence-Reward Driven Preference Optimization for Machine Translation — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Calibrating Translation Decoding with Quality Estimation on LLMs — 2025 · arXiv:2504.19044
Code-Switching Curriculum Learning for Multilingual Transfer in LLMs — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
Conditions for Catastrophic Forgetting in Multilingual Translation — 2025 · Proceedings of the 5th Workshop on Multilingual Representation Learning (MRL 2025)
Contextual Metric Meta-Evaluation by Measuring Local Metric Accuracy — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
ContrastScore: Towards Higher Quality, Less Biased, More Efficient Evaluation Metrics with Contrastive Evaluation — 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics
Conveying Imagistic Thinking in Traditional Chinese Medicine Translation: A Prompt Engineering and LLM-Based Evaluation Framework — 2025 · arXiv:2511.23059
D\''ej\`a Vu: Multilingual LLM Evaluation through the Lens of Machine Translation Evaluation — 2025 · arXiv:2504.11829
Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decoding — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Do LLMs Understand Wine Descriptors Across Cultures? A Benchmark for Cultural Adaptations of Wine Reviews — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal Transport — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Don''t Sweat the Small Stuff: Segment-Level Meta-Evaluation Based on Pairwise Difference Correlation — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Efficient Architectures For Low-Resource Machine Translation — 2025 · Proceedings of the First Workshop on Advancing NLP for Low-Resource Languages
Evaluating Language Translation Models by Playing Telephone — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Evaluating Synthetic Data Generation from User Generated Text — 2025 · Computational Linguistics
Feeding Two Birds or Favoring One? Adequacy-Fluency Tradeoffs in Evaluation and Meta-Evaluation of Machine Translation — 2025 · arXiv:2509.20287
Feeding Two Birds or Favoring One? Adequacy–Fluency Tradeoffs in Evaluation and Meta-Evaluation of Machine Translation — 2025 · Proceedings of the Tenth Conference on Machine Translation
FinGrAct: A Framework for FINe-GRrained Evaluation of ACTionability in Explainable Automatic Fact-Checking — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
Generative AI for Technical Writing: Comparing Human and LLM Assessments of Generated Content — 2025 · Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)
Has Machine Translation Evaluation Achieved Human Parity? The Human Reference and the Limits of Progress — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
HiMATE: A Hierarchical Multi-Agent Framework for Machine Translation Evaluation — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
How to Evaluate Speech Translation with Source-Aware Neural MT Metrics — 2025 · arXiv:2511.03295
How to Select Datapoints for Efficient Human Evaluation of NLG Models? — 2025 · Transactions of the Association for Computational Linguistics
IberoBench: A Benchmark for LLM Evaluation in Iberian Languages — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
Incorporating Target Fuzzy Matches into Neural Fuzzy Repair — 2025 · Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)
Intrinsic vs. Extrinsic Evaluation of Czech Sentence Embeddings: Semantic Relevance Doesn''t Help with MT Evaluation — 2025 · Proceedings of Machine Translation Summit XX: Volume 1
LLMs Are Not Scorers: Rethinking MT Evaluation with Generation-Based Methods — 2025 · arXiv:2505.16129
Long-context Reference-based MT Quality Estimation — 2025 · Proceedings of the Tenth Conference on Machine Translation
M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation Evaluation — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation Evaluators — 2025 · Proceedings of the 31st International Conference on Computational Linguistics
MQM-MSC: Enhancing Translation Quality Estimation Interpretability with Mask-Driven Self-Correction in Large Language Models — 2025 · Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025)
MSLC25: Metric Performance on Low-Quality Machine Translation, Empty Strings, and Language Variants — 2025 · Proceedings of the Tenth Conference on Machine Translation
Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets — 2025 · Computational Linguistics
Marco Large Translation Model at WMT2025: Transforming Translation Capability in LLMs via Quality-Aware Training and Decoding — 2025 · Proceedings of the Tenth Conference on Machine Translation
Minimum Bayes Risk Decoding for Error Span Detection in Reference-Free Automatic Machine Translation Evaluation — 2025 · arXiv:2512.07540
Prompt Engineering Enhances Faroese MT, but Only Humans Can Tell — 2025 · Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)
PromptOptMe: Error-Aware Prompt Compression for LLM-based MT Evaluation Metrics — 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Quality Estimation Reranking for Document-Level Translation — 2025 · arXiv:2510.08870
ReMedy: Learning Machine Translation Evaluation from Human Preferences with Reward Modeling — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
SHuBERT: Self-Supervised Sign Language Representation Learning via Multi-Stream Cluster Prediction — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Simulstream: Open-Source Toolkit for Evaluation and Demonstration of Streaming Speech-to-Text Translation Systems — 2025 · arXiv:2512.17648
TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
Targeted Source Text Editing for Machine Translation: Exploiting Quality Estimators and Large Language Models — 2025 · Proceedings of the Tenth Conference on Machine Translation
Toward Machine Translation Literacy: How Lay Users Perceive and Rely on Imperfect Translations — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
A Deep Analysis of the Impact of Multiword Expressions and Named Entities on Chinese-English Machine Translations — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
A Multi-task Learning Framework for Evaluating Machine Translation of Emotion-loaded User-generated Content — 2024 · Proceedings of the Ninth Conference on Machine Translation
A Preference-driven Paradigm for Enhanced Translation with Large Language Models — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)
Aligning Neural Machine Translation Models: Human Feedback in Training and Inference — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
Analysis of the Annotations from a Crowd MT Evaluation Initiative: Case Study for the Spanish-Basque Pair — 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)
Anti-LM Decoding for Zero-shot In-context Machine Translation — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine Translation — 2024 · Transactions of the Association for Computational Linguistics
Assessing the Role of Context in Chat Translation Evaluation: Is Context Helpful and Under What Conditions? — 2024 · Transactions of the Association for Computational Linguistics
Barriers to Effective Evaluation of Simultaneous Interpretation — 2024 · Findings of the Association for Computational Linguistics: EACL 2024
Benchmarking GPT-4 against Human Translators: A Comprehensive Evaluation Across Languages, Domains, and Expertise Levels — 2024 · arXiv:2411.13775
Benchmarking the Performance of Machine Translation Evaluation Metrics with Chinese Multiword Expressions — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Beyond Correlation: Interpretable Evaluation of Machine Translation Metrics — our card · 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Beyond Reference: Evaluating High Quality Translations Better than Human References — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing