Who cites «ACES: Translation Accuracy Challenge Sets for Evaluating Machine Translation Metrics»
- 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)
- Evaluating Multilingual Sentence Embeddings for Translation Error Detection:An English--Greek Contrastive Study — 2026 · arXiv:2608.28776
- Generating Difficult-to-Translate Texts — 2026 · Proceedings of the First Workshop on Multilingual Multicultural Evaluation
- 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)
- SwissGov-RSD: A Human-annotated, Cross-lingual Benchmark for Token-level Recognition of Semantic Differences Between Related Documents — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Can LLMs Detect Intrinsic Hallucinations in Paraphrasing and Machine Translation? — 2025 · Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM\texttwosuperior)
- Crosslingual Optimized Metric for Translation Assessment of Indian Languages — 2025 · arXiv:2509.17667
- D\''ej\`a Vu: Multilingual LLM Evaluation through the Lens of Machine Translation Evaluation — 2025 · arXiv:2504.11829
- MSLC25: Metric Performance on Low-Quality Machine Translation, Empty Strings, and Language Variants — 2025 · Proceedings of the Tenth Conference on Machine Translation
- ReMedy: Learning Machine Translation Evaluation from Human Preferences with Reward Modeling — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- MT-Ranker: Reference-free machine translation evaluation by inter-system ranking — 2024 · arXiv:2401.17099
- Navigating the Metrics Maze: Reconciling Score Magnitudes and Accuracies — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Pitfalls and Outlooks in Using COMET — 2024 · Proceedings of the Ninth Conference on Machine Translation
- Reference-based Metrics Disprove Themselves in Question Generation — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
- TIGQA: An Expert-Annotated Question-Answering Dataset in Tigrinya — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- A Benchmark for Evaluating Machine Translation Metrics on Dialects Without Standard Orthography — 2023 · arXiv:2311.16865
- ACES: Translation Accuracy Challenge Sets at WMT 2023 — 2023 · Proceedings of the Eighth Conference on Machine Translation
- Challenging the State-of-the-art Machine Translation Metrics from a Linguistic Perspective — 2023 · Proceedings of the Eighth Conference on Machine Translation
- Extrinsic Evaluation of Machine Translation Metrics — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation Metrics for Indian Languages — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- It Takes Two to Tango: Navigating Conceptualizations of NLP Tasks and Measurements of Performance — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Metric Score Landscape Challenge (MSLC23): Understanding Metrics'' Performance on a Wider Landscape of Translation Quality — 2023 · Proceedings of the Eighth Conference on Machine Translation
- Reranking for Natural Language Generation from Logical Forms: A Study based on Large Language Models — 2023 · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
- Towards Explainable Evaluation Metrics for Machine Translation — 2023 · arXiv:2306.13041 · Journal of Machine Learning Research (JMLR), 2024, vol. 25, no. 75, p. 1-49
- Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors — 2023 · arXiv:2302.08975
- Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust — our card · 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)
- dankers-2026-memorisation-meets-compositionality-natural-language
- ji-2026-data-centric-continual-pre-training
- wisniewski-2025-do-not-change-me-transferring
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