---
title: "Who cites COMET: A Neural Framework for MT Evaluation —…"
description: "The papers of the Elamur Research library that cite «COMET: A Neural Framework for MT Evaluation», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/cited-by/page/4/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/cited-by/page/4/)

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# Who cites «COMET: A Neural Framework for MT Evaluation» · page 4

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

Pages: [1](https://md.research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/cited-by/) · [2](https://md.research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/cited-by/page/2/) · [3](https://md.research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/cited-by/page/3/) · **4** · [5](https://md.research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/cited-by/page/5/) · … · [12](https://md.research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/cited-by/page/12/)

1. [DoCIA: An Online Document-Level Context Incorporation Agent for Speech Translation](https://aclanthology.org/2025.findings-acl.771/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
2. [Don't Take it Literally! Idiom-aware Vietnamese Translation via In-context Learning](https://aclanthology.org/2025.ijcnlp-long.97/) *— 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*
3. [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)*
4. [End-to-End Multilingual Automatic Dubbing via Duration-based Translation with Large Language Models](https://aclanthology.org/2025.emnlp-demos.37/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
5. [English Please: Evaluating Machine Translation with Large Language Models for Multilingual Bug Reports](https://arxiv.org/abs/2502.14338) *— 2025 · arXiv:2502.14338*
6. [Enriching the Low-Resource Neural Machine Translation with Large Language Model](https://aclanthology.org/2025.ijcnlp-srw.16/) *— 2025 · The 14th International Joint Conference on Natural Language Processing and The 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
7. [Estimating Machine Translation Difficulty](https://aclanthology.org/2025.findings-emnlp.1317/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
8. [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*
9. [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*
10. [Evaluating Machine Translation Models for English-Hindi Language Pairs: A Comparative Analysis](https://arxiv.org/abs/2505.19604) *— 2025 · arXiv:2505.19604*
11. [Evaluating Modern Large Language Models on Low-Resource and Morphologically Rich Languages:A Cross-Lingual Benchmark Across Cantonese, Japanese, and Turkish](https://arxiv.org/abs/2511.10664) *— 2025 · arXiv:2511.10664*
12. [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*
13. [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*
14. [Exploiting Task Reversibility of DRS Parsing and Generation: Challenges and Insights from a Multi-lingual Perspective](https://md.research.elamur.ai/free/en/papers/amin-2025-exploiting-task-reversibility-drs-parsing/) *— our card · 2025 · Proceedings of the First Workshop on Language Models for Low-Resource Languages*
15. [Exploring Context Strategies in LLMs for Discourse-Aware Machine Translation](https://aclanthology.org/2025.findings-emnlp.1324/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
16. [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*
17. [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*
18. [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*
19. [FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian](https://aclanthology.org/2025.clicit-1.81/) *— 2025 · Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)*
20. [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)*
21. [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*
22. [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*
23. [Fanar: An Arabic-Centric Multimodal Generative AI Platform](https://arxiv.org/abs/2501.13944) *— 2025 · arXiv:2501.13944*
24. [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*
25. [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*
26. [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)*
27. [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)*
28. [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)*
29. [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*
30. [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)*
31. [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)*
32. [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*
33. [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*
34. [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*
35. [HENT-SRT: Hierarchical Efficient Neural Transducer with Self-Distillation for Joint Speech Recognition and Translation](https://aclanthology.org/2025.iwslt-1.14/) *— 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)*
36. [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*
37. [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)*
38. [HausaNLP at SemEval-2025 Task 2: Entity-Aware Fine-tuning vs. Prompt Engineering in Entity-Aware Machine Translation](https://aclanthology.org/2025.semeval-1.120/) *— 2025 · Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)*
39. [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*
40. [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*
41. [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*
42. [How to Evaluate Speech Translation with Source-Aware Neural MT Metrics](https://arxiv.org/abs/2511.03295) *— 2025 · arXiv:2511.03295*
43. [How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation](https://aclanthology.org/2025.findings-naacl.416/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
44. [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*
45. [ITALERT: Assessing the Quality of LLMs and NMT in Translating Italian Emergency Response Text](https://aclanthology.org/2025.mtsummit-1.43/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
46. [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*
47. [Ibom NLP: A Step Toward Inclusive Natural Language Processing for Nigeria”s Minority Languages](https://aclanthology.org/2025.ijcnlp-long.22/) *— 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*
48. [Image-Text Relation Prediction for Multilingual Tweets](https://aclanthology.org/2025.nbreal-1.4/) *— 2025 · Proceedings of the 1st Workshop on Nordic-Baltic Responsible Evaluation and Alignment of Language Models (NB-REAL 2025)*
49. [Imagination and Contemplation: A Balanced Framework for Semantic-Augmented Multimodal Machine Translation](https://aclanthology.org/2025.findings-emnlp.579/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
50. [Improve Speech Translation Through Text Rewrite](https://aclanthology.org/2025.coling-industry.28/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics: Industry Track*
51. [Improving LLMs for Machine Translation Using Synthetic Preference Data](https://aclanthology.org/2025.luhme-1.7/) *— 2025 · Proceedings of the 2nd LUHME Workshop*
52. [Improving Language Transfer Capability of Decoder-only Architecture in Multilingual Neural Machine Translation](https://aclanthology.org/2025.mrl-main.13/) *— 2025 · Proceedings of the 5th Workshop on Multilingual Representation Learning (MRL 2025)*
53. [Improving Low-Resource Japanese Translation with Fine-Tuning and Backtranslation for the WMT 25 General Translation Task](https://aclanthology.org/2025.wmt-1.52/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
54. [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*
55. [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*
56. [Instability in Downstream Task Performance During LLM Pretraining](https://aclanthology.org/2025.findings-emnlp.1246/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
57. [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*
58. [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*
59. [Investigating Length Issues in Document-level Machine Translation](https://aclanthology.org/2025.mtsummit-1.3/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
60. [Investigating Omission as a Latency Reduction Strategy in Simultaneous Speech Translation](https://aclanthology.org/2025.findings-ijcnlp.138/) *— 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*
61. [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)*
62. [Iterative Layer Pruning for Efficient Translation Inference](https://aclanthology.org/2025.wmt-1.78/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
63. [KG-TRICK: Unifying Textual and Relational Information Completion of Knowledge for Multilingual Knowledge Graphs](https://aclanthology.org/2025.coling-main.611/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
64. [LLMs Are Not Scorers: Rethinking MT Evaluation with Generation-Based Methods](https://arxiv.org/abs/2505.16129) *— 2025 · arXiv:2505.16129*
65. [LLMs Can Achieve High-quality Simultaneous Machine Translation as Efficiently as Offline](https://aclanthology.org/2025.findings-acl.1045/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
66. [LaTIM: Measuring Latent Token-to-Token Interactions in Mamba Models](https://aclanthology.org/2025.acl-long.1194/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
67. [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)*
68. [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)*
69. [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*
70. [Leveraging Loanword Constraints for Improving Machine Translation in a Low-Resource Multilingual Context](https://aclanthology.org/2025.emnlp-main.1406/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
71. [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*
72. [LexiLogic@CALCS 2025: Predicting Preferences in Generated Code-Switched Text](https://aclanthology.org/2025.calcs-1.6/) *— 2025 · Proceedings of the 7th Workshop on Computational Approaches to Linguistic Code-Switching*
73. [Liaozhai through the Looking-Glass: On Paratextual Explicitation of Culture-Bound Terms in Machine Translation](https://aclanthology.org/2025.emnlp-main.1744/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
74. [Localizing AI: Evaluating Open-Weight Language Models for Languages of Baltic States](https://aclanthology.org/2025.nodalida-1.30/) *— 2025 · Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)*
75. [Long-context Reference-based MT Quality Estimation](https://aclanthology.org/2025.wmt-1.64/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
76. [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*
77. [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*
78. [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*
79. [Low-resource Machine Translation for Code-switched Kazakh-Russian Language Pair](https://aclanthology.org/2025.naacl-srw.7/) *— 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)*
80. [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)*
81. [M-Ped: Multi-Prompt Ensemble Decoding for Large Language Models](https://aclanthology.org/2025.findings-emnlp.906/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
82. [MAATS: A Multi-Agent Automated Translation System Based on MQM Evaluation](https://arxiv.org/abs/2505.14848) *— 2025 · arXiv:2505.14848*
83. [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*
84. [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)*
85. [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*
86. [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*
87. [Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets](https://aclanthology.org/2025.cl-1.4/) *— 2025 · Computational Linguistics*
88. [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)*
89. [Machine Translation Models are Zero-Shot Detectors of Translation Direction](https://aclanthology.org/2025.findings-acl.59/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
90. [Marco Large Translation Model at WMT2025: Transforming Translation Capability in LLMs via Quality-Aware Training and Decoding](https://aclanthology.org/2025.wmt-1.33/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
91. [MedQwen-PE: Medical Qwen for Parameter-Efficient Multilingual Patient-Centric Summarization, Question Answering and Information Extraction](https://aclanthology.org/2025.nlpai4health-main.9/) *— 2025 · NLP-AI4Health*
92. [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)*
93. [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*
94. [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*
95. [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*
96. [Mimicking How Humans Interpret Out-of-Context Sentences Through Controlled Toxicity Decoding](https://aclanthology.org/2025.trustnlp-main.19/) *— 2025 · Proceedings of the 5th Workshop on Trustworthy NLP (TrustNLP 2025)*
97. [Mind the Gap: Diverse NMT Models for Resource-Constrained Environments](https://aclanthology.org/2025.nodalida-1.21/) *— 2025 · Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)*
98. [Mind the Style Gap: Meta-Evaluation of Style and Attribute Transfer Metrics](https://aclanthology.org/2025.findings-emnlp.1175/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
99. [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*
100. [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)*

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