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# Who cites «COMET: A Neural Framework for MT Evaluation» · page 6

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](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rei-2020-comet-neural-framework-mt-evaluation-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** · [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. [Toucan: Many-to-Many Translation for 150 African Language Pairs](https://aclanthology.org/2024.findings-acl.781/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
2. [Towards Achieving Human Parity on End-to-end Simultaneous Speech Translation via LLM Agent](https://arxiv.org/abs/2407.21646) *— 2024 · arXiv:2407.21646*
3. [Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs](https://aclanthology.org/2024.emnlp-main.914/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
4. [Towards Demonstration-Aware Large Language Models for Machine Translation](https://aclanthology.org/2024.findings-acl.824/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
5. [Towards Large Language Model driven Reference-less Translation Evaluation for English and Indian Languages](https://arxiv.org/abs/2404.02512) *— 2024 · arXiv:2404.02512*
6. [Towards Multiple References Era – Addressing Data Leakage and Limited Reference Diversity in Machine Translation Evaluation](https://aclanthology.org/2024.findings-acl.710/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
7. [Towards Tailored Recovery of Lexical Diversity in Literary Machine Translation](https://aclanthology.org/2024.eamt-1.24/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
8. [Translate your Own: a Post-Editing Experiment in the NLP domain](https://aclanthology.org/2024.eamt-1.36/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
9. [Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages](https://aclanthology.org/2024.loresmt-1.1/) *— 2024 · Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)*
10. [WaterJudge: Quality-Detection Trade-off when Watermarking Large Language Models](https://aclanthology.org/2024.findings-naacl.223/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
11. [What do Large Language Models Need for Machine Translation Evaluation?](https://aclanthology.org/2024.emnlp-main.214/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
12. [What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study](https://aclanthology.org/2024.emnlp-main.1002/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
13. [Word Order in English-Japanese Simultaneous Interpretation: Analyses and Evaluation using Chunk-wise Monotonic Translation](https://aclanthology.org/2024.iwslt-1.30/) *— 2024 · Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)*
14. [mCoT: Multilingual Instruction Tuning for Reasoning Consistency in Language Models](https://aclanthology.org/2024.acl-long.649/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
15. [mbrs: A Library for Minimum Bayes Risk Decoding](https://aclanthology.org/2024.emnlp-demo.37/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations*
16. [xTower: A Multilingual LLM for Explaining and Correcting Translation Errors](https://aclanthology.org/2024.findings-emnlp.892/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
17. [融合确定性因子及区域密度的k-最近邻机器翻译方法(A k-Nearest-Neighbor Machine Translation Method Combining Certainty Factor and Region Density)](https://aclanthology.org/2024.ccl-1.16/) *— 2024 · Proceedings of the 23rd Chinese National Conference on Computational Linguistics (Volume 1: Main Conference)*
18. [A Benchmark for Evaluating Machine Translation Metrics on Dialects Without Standard Orthography](https://arxiv.org/abs/2311.16865) *— 2023 · arXiv:2311.16865*
19. [A Call for Standardization and Validation of Text Style Transfer Evaluation](https://aclanthology.org/2023.findings-acl.687/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
20. [A Holistic Approach to Reference-Free Evaluation of Machine Translation](https://aclanthology.org/2023.acl-short.55/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
21. [A Study on the Effectiveness of Large Language Models for Translation with Markup](https://aclanthology.org/2023.mtsummit-research.13/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
22. [A Survey on Zero Pronoun Translation](https://aclanthology.org/2023.acl-long.187/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
23. [ACES: Translation Accuracy Challenge Sets at WMT 2023](https://aclanthology.org/2023.wmt-1.57/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
24. [Adapting Machine Translation Education to the Neural Era: A Case Study of MT Quality Assessment](https://aclanthology.org/2023.eamt-1.30/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
25. [An Empirical Study of Translation Hypothesis Ensembling with Large Language Models](https://aclanthology.org/2023.emnlp-main.733/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
26. [Asking Clarification Questions to Handle Ambiguity in Open-Domain QA](https://aclanthology.org/2023.findings-emnlp.772/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
27. [Assessing the Importance of Frequency versus Compositionality for Subword-based Tokenization in NMT](https://aclanthology.org/2023.eamt-1.14/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
28. [Automatic Discrimination of Human and Neural Machine Translation in Multilingual Scenarios](https://aclanthology.org/2023.eamt-1.21/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
29. [Automating Behavioral Testing in Machine Translation](https://aclanthology.org/2023.wmt-1.97/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
30. [BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models](https://arxiv.org/abs/2309.06085) *— 2023 · arXiv:2309.06085*
31. [BLASER: A Text-Free Speech-to-Speech Translation Evaluation Metric](https://aclanthology.org/2023.acl-long.504/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
32. [BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training](https://aclanthology.org/2023.acl-long.297/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
33. [Bactrian-X: Multilingual Replicable Instruction-Following Models with Low-Rank Adaptation](https://arxiv.org/abs/2305.15011) *— 2023 · arXiv:2305.15011*
34. [Bad MT Systems are Good for Quality Estimation](https://aclanthology.org/2023.mtsummit-research.17/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
35. [Benchmarking Foundation Models with Language-Model-as-an-Examiner](https://arxiv.org/abs/2306.04181) *— 2023 · arXiv:2306.04181*
36. [Benchmarking Machine Translation with Cultural Awareness](https://arxiv.org/abs/2305.14328) *— 2023 · arXiv:2305.14328*
37. [Benchmarking Procedural Language Understanding for Low-Resource Languages: A Case Study on Turkish](https://aclanthology.org/2023.ijcnlp-main.52/) *— 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)*
38. [Best-k Search Algorithm for Neural Text Generation](https://aclanthology.org/2023.acl-long.692/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
39. [Beyond Correlation: Making Sense of the Score Differences of New MT Evaluation Metrics](https://aclanthology.org/2023.mtsummit-research.16/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
40. [Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation](https://aclanthology.org/2023.emnlp-main.605/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
41. [BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine Translation](https://aclanthology.org/2023.findings-acl.535/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
42. [Breeding Machine Translations: Evolutionary approach to survive and thrive in the world of automated evaluation](https://aclanthology.org/2023.acl-long.122/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
43. [Bridging the Domain Gaps in Context Representations for $k$-Nearest Neighbor Neural Machine Translation](https://aclanthology.org/2023.acl-long.321/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
44. [Bridging the Gap between Position-Based and Content-Based Self-Attention for Neural Machine Translation](https://aclanthology.org/2023.wmt-1.46/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
45. [Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation](https://aclanthology.org/2023.tacl-1.92/) *— 2023*
46. [CKDST: Comprehensively and Effectively Distill Knowledge from Machine Translation to End-to-End Speech Translation](https://aclanthology.org/2023.findings-acl.195/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
47. [CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation](https://aclanthology.org/2023.findings-emnlp.519/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
48. [CUNI at WMT23 General Translation Task: MT and a Genetic Algorithm](https://aclanthology.org/2023.wmt-1.8/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
49. [Challenges in Context-Aware Neural Machine Translation](https://aclanthology.org/2023.emnlp-main.943/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
50. [Challenging the State-of-the-art Machine Translation Metrics from a Linguistic Perspective](https://aclanthology.org/2023.wmt-1.58/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
51. [ChatGPT MT: Competitive for High- (but Not Low-) Resource Languages](https://aclanthology.org/2023.wmt-1.40/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
52. [Cometoid: Distilling Strong Reference-based Machine Translation Metrics into Even Stronger Quality Estimation Metrics](https://aclanthology.org/2023.wmt-1.62/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
53. [Considerations for meaningful sign language machine translation based on glosses](https://aclanthology.org/2023.acl-short.60/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
54. [Dancing Between Success and Failure: Edit-level Simplification Evaluation using SALSA](https://aclanthology.org/2023.emnlp-main.211/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
55. [Data Sampling and (In)stability in Machine Translation Evaluation](https://aclanthology.org/2023.findings-acl.826/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
56. [Dialect-robust Evaluation of Generated Text](https://aclanthology.org/2023.acl-long.331/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
57. [DiscoScore: Evaluating Text Generation with BERT and Discourse Coherence](https://aclanthology.org/2023.eacl-main.278/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
58. [Discourse Centric Evaluation of Machine Translation with a Densely Annotated Parallel Corpus](https://arxiv.org/abs/2305.11142) *— 2023 · arXiv:2305.11142 · ACL 2023*
59. [Discourse-Centric Evaluation of Document-level Machine Translation with a New Densely Annotated Parallel Corpus of Novels](https://aclanthology.org/2023.acl-long.435/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
60. [Dissecting In-Context Learning of Translations in GPT-3](https://aclanthology.org/2023.findings-emnlp.61/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
61. [Do GPTs Produce Less Literal Translations?](https://aclanthology.org/2023.acl-short.90/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
62. [Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation](https://aclanthology.org/2023.acl-long.786/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
63. [Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation](https://aclanthology.org/2023.eacl-main.33/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
64. [Document-Level Language Models for Machine Translation](https://aclanthology.org/2023.wmt-1.39/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
65. [Document-Level Machine Translation with Large Language Models](https://aclanthology.org/2023.emnlp-main.1036/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
66. [Domain Adaptation for Arabic Machine Translation: The Case of Financial Texts](https://arxiv.org/abs/2309.12863) *— 2023 · arXiv:2309.12863*
67. [Domain Terminology Integration into Machine Translation: Leveraging Large Language Models](https://aclanthology.org/2023.wmt-1.82/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
68. [Dubbing in Practice: A Large Scale Study of Human Localization With Insights for Automatic Dubbing](https://aclanthology.org/2023.tacl-1.25/) *— 2023 · Transactions of the Association for Computational Linguistics*
69. [EEL: Efficiently Encoding Lattices for Reranking](https://aclanthology.org/2023.acl-long.517/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
70. [EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation Metrics](https://aclanthology.org/2023.findings-emnlp.7/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
71. [Element-aware Summarization with Large Language Models: Expert-aligned Evaluation and Chain-of-Thought Method](https://aclanthology.org/2023.acl-long.482/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
72. [Empirical Analysis of Beam Search Curse and Search Errors with Model Errors in Neural Machine Translation](https://aclanthology.org/2023.eamt-1.10/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
73. [Empowering a Metric with LLM-assisted Named Entity Annotation: HW-TSC''s Submission to the WMT23 Metrics Shared Task](https://aclanthology.org/2023.wmt-1.70/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
74. [Epsilon Sampling Rocks: Investigating Sampling Strategies for Minimum Bayes Risk Decoding for Machine Translation](https://aclanthology.org/2023.findings-emnlp.617/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
75. [Evaluating Large Language Models' Understanding of Financial Terminology via Definition Modeling](https://aclanthology.org/2023.ijcnlp-srw.12/) *— 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: Student Research Workshop*
76. [Evaluating Machine Translation Quality with Conformal Predictive Distributions](https://arxiv.org/abs/2306.01549) *— 2023 · arXiv:2306.01549*
77. [Evaluating Multilingual Speech Translation under Realistic Conditions with Resegmentation and Terminology](https://aclanthology.org/2023.iwslt-1.2/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
78. [Evaluating and Improving the Coreference Capabilities of Machine Translation Models](https://aclanthology.org/2023.eacl-main.69/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
79. [Evaluating the Efficacy of Length-Controllable Machine Translation](https://arxiv.org/abs/2305.02300) *— 2023 · arXiv:2305.02300*
80. [Explaining with Contrastive Phrasal Highlighting: A Case Study in Assisting Humans to Detect Translation Differences](https://aclanthology.org/2023.emnlp-main.690/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
81. [Exploring All-In-One Knowledge Distillation Framework for Neural Machine Translation](https://aclanthology.org/2023.emnlp-main.178/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
82. [Exploring Better Text Image Translation with Multimodal Codebook](https://aclanthology.org/2023.acl-long.192/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
83. [Exploring Context-Aware Evaluation Metrics for Machine Translation](https://aclanthology.org/2023.findings-emnlp.1021/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
84. [Exploring Paracrawl for Document-level Neural Machine Translation](https://aclanthology.org/2023.eacl-main.94/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
85. [Extract and Attend: Improving Entity Translation in Neural Machine Translation](https://aclanthology.org/2023.findings-acl.107/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
86. [Extrapolating Large Language Models to Non-English by Aligning Languages](https://arxiv.org/abs/2308.04948) *— 2023 · arXiv:2308.04948*
87. [Extrinsic Evaluation of Machine Translation Metrics](https://aclanthology.org/2023.acl-long.730/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
88. [FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN](https://aclanthology.org/2023.iwslt-1.1/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
89. [Faster Minimum Bayes Risk Decoding with Confidence-based Pruning](https://aclanthology.org/2023.emnlp-main.767/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
90. [Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet](https://aclanthology.org/2023.wmt-1.1/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
91. [Findings of the WMT 2023 Shared Task on Discourse-Level Literary Translation: A Fresh Orb in the Cosmos of LLMs](https://aclanthology.org/2023.wmt-1.3/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
92. [Findings of the WMT 2023 Shared Task on Machine Translation with Terminologies](https://aclanthology.org/2023.wmt-1.54/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
93. [GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4](https://aclanthology.org/2023.wmt-1.64/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
94. [GPTScore: Evaluate as You Desire](https://arxiv.org/abs/2302.04166) *— 2023 · arXiv:2302.04166*
95. [Gender Biases in Automatic Evaluation Metrics for Image Captioning](https://aclanthology.org/2023.emnlp-main.520/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
96. [Gender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challenges](https://aclanthology.org/2023.gitt-1.7/) *— 2023 · Proceedings of the First Workshop on Gender-Inclusive Translation Technologies*
97. [Gradient-based Gradual Pruning for Language-Specific Multilingual Neural Machine Translation](https://aclanthology.org/2023.emnlp-main.43/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
98. [Grammatical Error Correction for Sentence-level Assessment in Language Learning](https://aclanthology.org/2023.bea-1.41/) *— 2023 · Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023)*
99. [HW-TSC 2023 Submission for the Quality Estimation Shared Task](https://aclanthology.org/2023.wmt-1.72/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
100. [HalOmi: A Manually Annotated Benchmark for Multilingual Hallucination and Omission Detection in Machine Translation](https://aclanthology.org/2023.emnlp-main.42/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*

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