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# Who cites «COMET: A Neural Framework for MT Evaluation» · page 3

1167 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/rei-2020-comet-neural-framework-mt-evaluation/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-2/) · **3** · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-4/) · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-5/) · [6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-6/) · [7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-7/) · [8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-8/) · [9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-9/) · [10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-10/) · [11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-11/) · [12](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-12/)

1. [Do My Eyes Deceive Me? A Survey of Human Evaluations of Hallucinations in NLG](https://aclanthology.org/2025.inlg-main.4/) *— 2025 · Proceedings of the 18th International Natural Language Generation Conference*
2. [Efficient Speech Translation through Model Compression and Knowledge Distillation](https://arxiv.org/abs/2505.20237) *— 2025 · arXiv:2505.20237 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)*
3. [English Please: Evaluating Machine Translation with Large Language Models for Multilingual Bug Reports](https://arxiv.org/abs/2502.14338) *— 2025 · arXiv:2502.14338*
4. [Estimating Machine Translation Difficulty](https://aclanthology.org/2025.findings-emnlp.1317/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
5. [Evaluating Evaluation Metrics for Ancient Chinese to English Machine Translation](https://aclanthology.org/2025.alp-1.9/) *— 2025 · Proceedings of the Second Workshop on Ancient Language Processing*
6. [Evaluating Language Translation Models by Playing Telephone](https://aclanthology.org/2025.emnlp-main.524/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
7. [Evaluating Machine Translation Models for English-Hindi Language Pairs: A Comparative Analysis](https://arxiv.org/abs/2505.19604) *— 2025 · arXiv:2505.19604*
8. [Evaluating WMT 2025 Metrics Shared Task Submissions on the SSA-MTE African Challenge Set](https://aclanthology.org/2025.wmt-1.65/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
9. [Evaluation of LLM for English to Hindi Legal Domain Machine Translation Systems](https://aclanthology.org/2025.wmt-1.57/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
10. [Exploiting Task Reversibility of DRS Parsing and Generation: Challenges and Insights from a Multi-lingual Perspective](https://md.mova.elamur.ai/free/en/docs/papers/amin-2025-exploiting-task-reversibility-drs-parsing/) *— our card · 2025 · Proceedings of the First Workshop on Language Models for Low-Resource Languages*
11. [Exploring In-Image Machine Translation with Real-World Background](https://aclanthology.org/2025.findings-acl.6/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
12. [Extending Automatic Machine Translation Evaluation to Book-Length Documents](https://aclanthology.org/2025.emnlp-main.1645/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
13. [Extending CREAMT: Leveraging Large Language Models for Literary Translation Post-Editing](https://aclanthology.org/2025.mtsummit-1.40/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
14. [FUSE : A Ridge and Random Forest-Based Metric for Evaluating MT in Indigenous Languages](https://aclanthology.org/2025.americasnlp-1.8/) *— 2025 · Proceedings of the Fifth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)*
15. [Factors Affecting Translation Quality in In-context Learning for Multilingual Medical Domain](https://aclanthology.org/2025.wmt-1.9/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
16. [FairTranslate: An English-French Dataset for Gender Bias Evaluation in Machine Translation by Overcoming Gender Binarity](https://arxiv.org/abs/2504.15941) *— 2025 · arXiv:2504.15941*
17. [Fanar: An Arabic-Centric Multimodal Generative AI Platform](https://arxiv.org/abs/2501.13944) *— 2025 · arXiv:2501.13944*
18. [Feeding Two Birds or Favoring One? Adequacy-Fluency Tradeoffs in Evaluation and Meta-Evaluation of Machine Translation](https://arxiv.org/abs/2509.20287) *— 2025 · arXiv:2509.20287*
19. [Feeding Two Birds or Favoring One? Adequacy–Fluency Tradeoffs in Evaluation and Meta-Evaluation of Machine Translation](https://aclanthology.org/2025.wmt-1.16/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
20. [Findings of the AmericasNLP 2025 Shared Tasks on Machine Translation, Creation of Educational Material, and Translation Metrics for Indigenous Languages of the Americas](https://aclanthology.org/2025.americasnlp-1.16/) *— 2025 · Proceedings of the Fifth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)*
21. [Findings of the IWSLT 2025 Evaluation Campaign](https://aclanthology.org/2025.iwslt-1.44/) *— 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)*
22. [Findings of the JUST-NLP 2025 Shared Task on English-to-Hindi Legal Machine Translation](https://aclanthology.org/2025.justnlp-main.3/) *— 2025 · Proceedings of the 1st Workshop on NLP for Empowering Justice (JUST-NLP 2025)*
23. [Findings of the WMT25 Multilingual Instruction Shared Task: Persistent Hurdles in Reasoning, Generation, and Evaluation](https://aclanthology.org/2025.wmt-1.23/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
24. [Fine-Grained and Multi-Dimensional Metrics for Document-Level Machine Translation](https://aclanthology.org/2025.naacl-srw.1/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 4: Student Research Workshop)*
25. [From Scratch to Fine-Tuned: A Comparative Study of Transformer Training Strategies for Legal Machine Translation](https://aclanthology.org/2025.justnlp-main.20/) *— 2025 · Proceedings of the 1st Workshop on NLP for Empowering Justice (JUST-NLP 2025)*
26. [From Unaligned to Aligned: Scaling Multilingual LLMs with Multi-Way Parallel Corpora](https://aclanthology.org/2025.emnlp-main.374/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
27. [G2: Guided Generation for Enhanced Output Diversity in LLMs](https://aclanthology.org/2025.emnlp-main.713/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
28. [Going Beyond Your Expectations in Latency Metrics for Simultaneous Speech Translation](https://aclanthology.org/2025.findings-acl.937/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
29. [HW-TSC's Submissions to the WMT 2025 Segment-level Quality Score Prediction Task](https://aclanthology.org/2025.wmt-1.71/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
30. [Has Machine Translation Evaluation Achieved Human Parity? The Human Reference and the Limits of Progress](https://aclanthology.org/2025.acl-short.63/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
31. [HiMATE: A Hierarchical Multi-Agent Framework for Machine Translation Evaluation](https://aclanthology.org/2025.findings-emnlp.593/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
32. [How Small Can You Go? Compact Language Models for On-Device Critical Error Detection in Machine Translation](https://arxiv.org/abs/2511.09748) *— 2025 · arXiv:2511.09748*
33. [How ``Real'' is Your Real-Time Simultaneous Speech-to-Text Translation System?](https://aclanthology.org/2025.tacl-1.14/) *— 2025 · Transactions of the Association for Computational Linguistics*
34. [How to Evaluate Speech Translation with Source-Aware Neural MT Metrics](https://arxiv.org/abs/2511.03295) *— 2025 · arXiv:2511.03295*
35. [How to Select Datapoints for Efficient Human Evaluation of NLG Models?](https://aclanthology.org/2025.tacl-1.80/) *— 2025 · Transactions of the Association for Computational Linguistics*
36. [IberoBench: A Benchmark for LLM Evaluation in Iberian Languages](https://aclanthology.org/2025.coling-main.699/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
37. [In-Context Example Selection via Similarity Search Improves Low-Resource Machine Translation](https://aclanthology.org/2025.findings-naacl.68/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
38. [InImageTrans: Multimodal LLM-based Text Image Machine Translation](https://aclanthology.org/2025.findings-acl.1039/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
39. [Instruction-tuned Large Language Models for Machine Translation in the Medical Domain](https://aclanthology.org/2025.mtsummit-1.13/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
40. [Intrinsic vs. Extrinsic Evaluation of Czech Sentence Embeddings: Semantic Relevance Doesn''t Help with MT Evaluation](https://aclanthology.org/2025.mtsummit-1.20/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
41. [Investigating Length Issues in Document-level Machine Translation](https://aclanthology.org/2025.mtsummit-1.3/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
42. [IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models](https://aclanthology.org/2025.naacl-long.139/) *— 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)*
43. [LLMs Are Not Scorers: Rethinking MT Evaluation with Generation-Based Methods](https://arxiv.org/abs/2505.16129) *— 2025 · arXiv:2505.16129*
44. [Large Language Models for Persian-English Idiom Translation](https://aclanthology.org/2025.naacl-long.405/) *— 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)*
45. [Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts](https://aclanthology.org/2025.acl-long.878/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
46. [Let''s Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model](https://aclanthology.org/2025.coling-main.630/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
47. [Leveraging Visual Scene Graph to Enhance Translation Quality in Multimodal Machine Translation](https://aclanthology.org/2025.mtsummit-1.27/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
48. [Long-context Reference-based MT Quality Estimation](https://aclanthology.org/2025.wmt-1.64/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
49. [Lost in Translation: Benchmarking Commercial Machine Translation Models for Dyslexic-Style Text](https://aclanthology.org/2025.findings-acl.708/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
50. [Low-Resource Interlinear Translation: Morphology-Enhanced Neural Models for Ancient Greek](https://aclanthology.org/2025.loreslm-1.11/) *— 2025 · Proceedings of the First Workshop on Language Models for Low-Resource Languages*
51. [Low-Resource Language Expansion and Translation Capacity Enhancement for LLM: A Study on the Uyghur](https://aclanthology.org/2025.coling-main.559/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
52. [M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation Evaluation](https://aclanthology.org/2025.acl-long.351/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
53. [MAATS: A Multi-Agent Automated Translation System Based on MQM Evaluation](https://arxiv.org/abs/2505.14848) *— 2025 · arXiv:2505.14848*
54. [MQM-Chat: Multidimensional Quality Metrics for Chat Translation](https://aclanthology.org/2025.coling-main.221/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
55. [MQM-MSC: Enhancing Translation Quality Estimation Interpretability with Mask-Driven Self-Correction in Large Language Models](https://aclanthology.org/2025.ccl-1.67/) *— 2025 · Proceedings of the 24th China National Conference on Computational Linguistics (CCL 2025)*
56. [MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning](https://aclanthology.org/2025.findings-emnlp.1015/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
57. [MT-RewardTree: A Comprehensive Framework for Advancing LLM-Based Machine Translation via Reward Modeling](https://aclanthology.org/2025.findings-emnlp.1007/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
58. [Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets](https://aclanthology.org/2025.cl-1.4/) *— 2025 · Computational Linguistics*
59. [Machine Translation Metrics for Indigenous Languages Using Fine-tuned Semantic Embeddings](https://aclanthology.org/2025.americasnlp-1.11/) *— 2025 · Proceedings of the Fifth Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP)*
60. [Memorization Inheritance in Sequence-Level Knowledge Distillation for Neural Machine Translation](https://aclanthology.org/2025.acl-short.61/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
61. [Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine Translation](https://arxiv.org/abs/2504.18012) *— 2025 · arXiv:2504.18012*
62. [Metaphors in Literary Machine Translation: Close but no cigar?](https://aclanthology.org/2025.mtsummit-1.21/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
63. [MetricX-25 and GemSpanEval: Google Translate Submissions to the WMT25 Evaluation Shared Task](https://aclanthology.org/2025.wmt-1.70/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
64. [Minimum Bayes Risk Decoding for Error Span Detection in Reference-Free Automatic Machine Translation Evaluation](https://arxiv.org/abs/2512.07540) *— 2025 · arXiv:2512.07540*
65. [Mitigating Hallucinated Translations in Large Language Models with Hallucination-focused Preference Optimization](https://aclanthology.org/2025.naacl-long.175/) *— 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)*
66. [MoVoC: Morphology-Aware Subword Construction for Ge'ez Script Languages](https://md.mova.elamur.ai/free/en/docs/papers/findings-2025-teklehaymanot-movoc-morphology-aware-subword-construction/) *— our card · 2025*
67. [MoVoC: Morphology-Aware Subword Construction for Geez Script Languages](https://arxiv.org/abs/2509.08812) *— 2025 · arXiv:2509.08812*
68. [Multilingual Machine Translation with Open Large Language Models at Practical Scale: An Empirical Study](https://aclanthology.org/2025.naacl-long.280/) *— 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)*
69. [Multilingual Pre-training Meets Supervised Neural Machine Translation: A Reproducible Evaluation on English–French and Finnish Translation](https://aclanthology.org/2025.ranlp-1.5/) *— 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era*
70. [Multimodal Neural Machine Translation: A Survey of the State of the Art](https://aclanthology.org/2025.emnlp-main.1125/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
71. [No Train but Gain: Language Arithmetic for training-free Language Adapters enhancement](https://aclanthology.org/2025.coling-main.737/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
72. [Nvidia-Nemo's WMT 2025 Metrics Shared Task Submission](https://aclanthology.org/2025.wmt-1.66/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
73. [On Non-interactive Evaluation of Animal Communication Translators](https://arxiv.org/abs/2510.15768) *— 2025 · arXiv:2510.15768*
74. [OpusDistillery: A Configurable End-to-End Pipeline for Systematic Multilingual Distillation of Open NMT Models](https://aclanthology.org/2025.nodalida-1.20/) *— 2025 · Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)*
75. [PARME: Parallel Corpora for Low-Resourced Middle Eastern Languages](https://aclanthology.org/2025.acl-long.1451/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
76. [PATIMT-Bench: A Multi-Scenario Benchmark for Position-Aware Text Image Machine Translation in Large Vision-Language Models](https://aclanthology.org/2025.findings-emnlp.900/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
77. [PRIM: Towards Practical In-Image Multilingual Machine Translation](https://aclanthology.org/2025.emnlp-main.691/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
78. [Parallel Corpora for Machine Translation in Low-resource Indic Languages: A Comprehensive Review](https://arxiv.org/abs/2503.04797) *— 2025 · arXiv:2503.04797*
79. [Penalizing Length: Uncovering Systematic Bias in Quality Estimation Metrics](https://arxiv.org/abs/2510.22028) *— 2025 · arXiv:2510.22028*
80. [Peut-on faire confiance aux juges ? Validation de méthodes d'évaluation de la factualité par perturbation des réponses](https://aclanthology.org/2025.jeptalnrecital-evalllm.19/) *— 2025 · Actes de l'atelier Évaluation des modèles génératifs (LLM) et challenge 2025 (EvalLLM)*
81. [Proverbs Run in Pairs: Evaluating Proverb Translation Capability of Large Language Model](https://aclanthology.org/2025.findings-acl.83/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
82. [Pun2Pun: Benchmarking LLMs on Textual-Visual Chinese-English Pun Translation via Pragmatics Model and Linguistic Reasoning](https://aclanthology.org/2025.acl-srw.23/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
83. [QE4PE: Word-level Quality Estimation for Human Post-Editing](https://aclanthology.org/2025.tacl-1.64/) *— 2025 · Transactions of the Association for Computational Linguistics*
84. [Quality Estimation Reranking for Document-Level Translation](https://arxiv.org/abs/2510.08870) *— 2025 · arXiv:2510.08870*
85. [Quality Estimation and Post-Editing Using LLMs For Indic Languages: How Good Is It?](https://aclanthology.org/2025.mtsummit-1.30/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
86. [Quality Matters Measuring the Effect of Human-Annotated Translation Quality on English-Slovak Machine Translation](https://aclanthology.org/2025.globalnlp-1.9/) *— 2025 · Proceedings of the Workshop on Beyond English: Natural Language Processing for all Languages in an Era of Large Language Models*
87. [RankedCOMET: Elevating a 2022 Baseline to a Top-5 Finish in the WMT 2025 QE Task](https://aclanthology.org/2025.wmt-1.74/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
88. [ReMedy: Learning Machine Translation Evaluation from Human Preferences with Reward Modeling](https://aclanthology.org/2025.emnlp-main.217/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
89. [Reasoning for Translation: Comparative Analysis of Chain-of-Thought and Tree-of-Thought Prompting for LLM Translation](https://aclanthology.org/2025.acl-srw.17/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop)*
90. [Refined Assessment for Translation Evaluation: Rethinking Machine Translation Evaluation in the Era of Human-Level Systems](https://aclanthology.org/2025.findings-emnlp.1203/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
91. [Regularized Best-of-N Sampling with Minimum Bayes Risk Objective for Language Model Alignment](https://aclanthology.org/2025.naacl-long.472/) *— 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)*
92. [SASST: Leveraging Syntax-Aware Chunking and LLMs for Simultaneous Speech Translation](https://arxiv.org/abs/2508.07781) *— 2025 · arXiv:2508.07781*
93. [SLoW: Select Low-frequency Words! Automatic Dictionary Selection for Translation on Large Language Models](https://aclanthology.org/2025.emnlp-main.46/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
94. [SSA-COMET: Do LLMs Outperform Learned Metrics in Evaluating MT for Under-Resourced African Languages?](https://aclanthology.org/2025.emnlp-main.656/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
95. [Scaling Low-Resource MT via Synthetic Data Generation with LLMs](https://aclanthology.org/2025.emnlp-main.1408/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
96. [Self-Evolution Knowledge Distillation for LLM-based Machine Translation](https://aclanthology.org/2025.coling-main.686/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
97. [SemEval-2025 Task 2: Entity-Aware Machine Translation](https://aclanthology.org/2025.semeval-1.326/) *— 2025 · Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)*
98. [SeqPO-SiMT: Sequential Policy Optimization for Simultaneous Machine Translation](https://aclanthology.org/2025.findings-acl.828/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
99. [Should I Share this Translation? Evaluating Quality Feedback for User Reliance on Machine Translation](https://aclanthology.org/2025.emnlp-main.606/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
100. [Simulstream: Open-Source Toolkit for Evaluation and Demonstration of Streaming Speech-to-Text Translation Systems](https://arxiv.org/abs/2512.17648) *— 2025 · arXiv:2512.17648*

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