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# Who cites «A Call for Clarity in Reporting BLEU Scores» · page 11

2102 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/post-2018-call-clarity-reporting-bleu-scores/)

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1. [Understanding Metrics for Paraphrasing](https://arxiv.org/abs/2205.13119) *— 2022 · arXiv:2205.13119*
2. [Understanding and Improving Sequence-to-Sequence Pretraining for Neural Machine Translation](https://aclanthology.org/2022.acl-long.185/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [Unified Speech-Text Pre-training for Speech Translation and Recognition](https://aclanthology.org/2022.acl-long.105/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models](https://aclanthology.org/2022.emnlp-main.39/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
5. [Unifying the Convergences in Multilingual Neural Machine Translation](https://aclanthology.org/2022.emnlp-main.458/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
6. [User-Centric Gender Rewriting](https://aclanthology.org/2022.naacl-main.46/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
7. [Using Neural Machine Translation Methods for Sign Language Translation](https://aclanthology.org/2022.acl-srw.21/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
8. [Vega-MT: The JD Explore Academy Machine Translation System for WMT22](https://aclanthology.org/2022.wmt-1.37/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
9. [Viterbi Decoding of Directed Acyclic Transformer for Non-Autoregressive Machine Translation](https://aclanthology.org/2022.findings-emnlp.322/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
10. [What Do Compressed Multilingual Machine Translation Models Forget?](https://aclanthology.org/2022.findings-emnlp.317/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
11. [What Do You Get When You Cross Beam Search with Nucleus Sampling?](https://aclanthology.org/2022.insights-1.5/) *— 2022 · Proceedings of the Third Workshop on Insights from Negative Results in NLP*
12. [When does Parameter-Efficient Transfer Learning Work for Machine Translation?](https://aclanthology.org/2022.emnlp-main.540/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
13. [Who Are We Talking About? Handling Person Names in Speech Translation](https://aclanthology.org/2022.iwslt-1.6/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
14. [Why don't people use character-level machine translation?](https://aclanthology.org/2022.findings-acl.194/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
15. [Why only Micro-F1? Class Weighting of Measures for Relation Classification](https://aclanthology.org/2022.nlppower-1.4/) *— 2022 · Proceedings of NLP Power! The First Workshop on Efficient Benchmarking in NLP*
16. [Word-level Perturbation Considering Word Length and Compositional Subwords](https://aclanthology.org/2022.findings-acl.258/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
17. [XLM-D: Decorate Cross-lingual Pre-training Model as Non-Autoregressive Neural Machine Translation](https://aclanthology.org/2022.emnlp-main.466/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
18. [Your Answer is Incorrect... Would you like to know why? Introducing a Bilingual Short Answer Feedback Dataset](https://aclanthology.org/2022.acl-long.587/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
19. [Zero-shot Disfluency Detection for Indian Languages](https://aclanthology.org/2022.coling-1.392/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
20. [m$^4$ Adapter: Multilingual Multi-Domain Adaptation for Machine Translation with a Meta-Adapter](https://aclanthology.org/2022.findings-emnlp.315/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
21. [ngram-OAXE: Phrase-Based Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation](https://aclanthology.org/2022.coling-1.446/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
22. [A Call for Clarity in Contemporary Authorship Attribution Evaluation](https://aclanthology.org/2021.ranlp-1.132/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
23. [A Large-Scale Study of Machine Translation in Turkic Languages](https://aclanthology.org/2021.emnlp-main.475/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
24. [A Novel Estimator of Mutual Information for Learning to Disentangle Textual Representations](https://aclanthology.org/2021.acl-long.511/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
25. [A Simple and Effective Positional Encoding for Transformers](https://aclanthology.org/2021.emnlp-main.236/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
26. [A Study of Automatic Metrics for the Evaluation of Natural Language Explanations](https://aclanthology.org/2021.eacl-main.202/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
27. [A Study of Morphological Robustness of Neural Machine Translation](https://aclanthology.org/2021.sigmorphon-1.6/) *— 2021 · Proceedings of the 18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology*
28. [Adam Mickiewicz University's English-Hausa Submissions to the WMT 2021 News Translation Task](https://aclanthology.org/2021.wmt-1.14/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
29. [AfroMT: Pretraining Strategies and Reproducible Benchmarks for Translation of 8 African Languages](https://aclanthology.org/2021.emnlp-main.99/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
30. [An Empirical Investigation of Word Alignment Supervision for Zero-Shot Multilingual Neural Machine Translation](https://aclanthology.org/2021.emnlp-main.664/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
31. [An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages](https://aclanthology.org/2021.findings-emnlp.22/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
32. [AraGPT2: Pre-Trained Transformer for Arabic Language Generation](https://aclanthology.org/2021.wanlp-1.21/) *— 2021 · Proceedings of the Sixth Arabic Natural Language Processing Workshop*
33. [Assessing Evaluation Metrics for Speech-to-Speech Translation](https://arxiv.org/abs/2110.13877) *— 2021 · arXiv:2110.13877*
34. [AugVic: Exploiting BiText Vicinity for Low-Resource NMT](https://aclanthology.org/2021.findings-acl.267/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
35. [Autocorrect in the Process of Translation –- Multi-task Learning Improves Dialogue Machine Translation](https://aclanthology.org/2021.naacl-industry.14/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Papers*
36. [Bandits Don''t Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits](https://aclanthology.org/2021.findings-emnlp.274/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
37. [Between Flexibility and Consistency: Joint Generation of Captions and Subtitles](https://aclanthology.org/2021.iwslt-1.26/) *— 2021 · Proceedings of the 18th International Conference on Spoken Language Translation (IWSLT 2021)*
38. [Beyond Distillation: Task-level Mixture-of-Experts for Efficient Inference](https://aclanthology.org/2021.findings-emnlp.304/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
39. [Beyond Sentence-Level End-to-End Speech Translation: Context Helps](https://aclanthology.org/2021.acl-long.200/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
40. [Biomedical Data-to-Text Generation via Fine-Tuning Transformers](https://aclanthology.org/2021.inlg-1.40/) *— 2021 · Proceedings of the 14th International Conference on Natural Language Generation*
41. [CAiRE in DialDoc21: Data Augmentation for Information Seeking Dialogue System](https://aclanthology.org/2021.dialdoc-1.6/) *— 2021 · Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering (DialDoc 2021)*
42. [CTC-based Compression for Direct Speech Translation](https://aclanthology.org/2021.eacl-main.57/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
43. [CUNI Systems for WMT21: Terminology Translation Shared Task](https://aclanthology.org/2021.wmt-1.82/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
44. [Can Cognate Prediction Be Modelled as a Low-Resource Machine Translation Task?](https://aclanthology.org/2021.findings-acl.75/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
45. [Capturing document context inside sentence-level neural machine translation models with self-training](https://aclanthology.org/2021.codi-main.14/) *— 2021 · Proceedings of the 2nd Workshop on Computational Approaches to Discourse*
46. [Cascade versus Direct Speech Translation: Do the Differences Still Make a Difference?](https://aclanthology.org/2021.acl-long.224/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
47. [Cascaded Span Extraction and Response Generation for Document-Grounded Dialog](https://aclanthology.org/2021.dialdoc-1.8/) *— 2021 · Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering (DialDoc 2021)*
48. [CoMeT: Towards Code-Mixed Translation Using Parallel Monolingual Sentences](https://aclanthology.org/2021.calcs-1.7/) *— 2021 · Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching*
49. [Competence-based Curriculum Learning for Multilingual Machine Translation](https://aclanthology.org/2021.findings-emnlp.212/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
50. [Context-aware Neural Machine Translation with Mini-batch Embedding](https://aclanthology.org/2021.eacl-main.214/) *— 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume*
51. [Contrastive Conditioning for Assessing Disambiguation in MT: A Case Study of Distilled Bias](https://aclanthology.org/2021.emnlp-main.803/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
52. [Contrastive Learning for Context-aware Neural Machine Translation Using Coreference Information](https://aclanthology.org/2021.wmt-1.121/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
53. [Contrastive Learning for Many-to-many Multilingual Neural Machine Translation](https://aclanthology.org/2021.acl-long.21/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
54. [Controlling Machine Translation for Multiple Attributes with Additive Interventions](https://aclanthology.org/2021.emnlp-main.535/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
55. [Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation](https://aclanthology.org/2021.emnlp-main.132/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
56. [DIALKI: Knowledge Identification in Conversational Systems through Dialogue-Document Contextualization](https://aclanthology.org/2021.emnlp-main.140/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
57. [Data Augmentation for Sign Language Gloss Translation](https://aclanthology.org/2021.mtsummit-at4ssl.1/) *— 2021 · Proceedings of the 1st International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL)*
58. [Data and Parameter Scaling Laws for Neural Machine Translation](https://aclanthology.org/2021.emnlp-main.478/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
59. [Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation](https://aclanthology.org/2021.emnlp-main.633/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
60. [Dealing with training and test segmentation mismatch: FBK@IWSLT2021](https://aclanthology.org/2021.iwslt-1.8/) *— 2021 · Proceedings of the 18th International Conference on Spoken Language Translation (IWSLT 2021)*
61. [Detecting Hallucinated Content in Conditional Neural Sequence Generation](https://aclanthology.org/2021.findings-acl.120/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
62. [Detecting Post-Edited References and Their Effect on Human Evaluation](https://aclanthology.org/2021.humeval-1.13/) *— 2021 · Proceedings of the Workshop on Human Evaluation of NLP Systems (HumEval)*
63. [DialDoc 2021 Shared Task: Goal-Oriented Document-grounded Dialogue Modeling](https://aclanthology.org/2021.dialdoc-1.1/) *— 2021 · Proceedings of the 1st Workshop on Document-grounded Dialogue and Conversational Question Answering (DialDoc 2021)*
64. [Discourse-Based Sentence Splitting](https://aclanthology.org/2021.findings-emnlp.25/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
65. [Discriminative Reranking for Neural Machine Translation](https://aclanthology.org/2021.acl-long.563/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
66. [Diverse Pretrained Context Encodings Improve Document Translation](https://aclanthology.org/2021.acl-long.104/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
67. [Do Context-Aware Translation Models Pay the Right Attention?](https://aclanthology.org/2021.acl-long.65/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
68. [Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings](https://aclanthology.org/2021.blackboxnlp-1.3/) *— 2021 · Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP*
69. [Don''t Go Far Off: An Empirical Study on Neural Poetry Translation](https://aclanthology.org/2021.emnlp-main.577/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
70. [ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation](https://arxiv.org/abs/2107.02137) *— 2021 · arXiv:2107.02137*
71. [End-to-End Lexically Constrained Machine Translation for Morphologically Rich Languages](https://aclanthology.org/2021.acl-long.311/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
72. [End-to-End Speech Translation with Pre-trained Models and Adapters: UPC at IWSLT 2021](https://aclanthology.org/2021.iwslt-1.11/) *— 2021 · Proceedings of the 18th International Conference on Spoken Language Translation (IWSLT 2021)*
73. [Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models](https://aclanthology.org/2021.acl-long.349/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
74. [Evaluating the Efficacy of Summarization Evaluation across Languages](https://aclanthology.org/2021.findings-acl.71/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
75. [Evaluating the Evaluation Metrics for Style Transfer: A Case Study in Multilingual Formality Transfer](https://md.mova.elamur.ai/free/en/docs/papers/briakou-2021-evaluating-evaluation-metrics-style-transfer/) *— our card · 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
76. [Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction](https://aclanthology.org/2021.emnlp-main.149/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
77. [Extremely low-resource machine translation for closely related languages](https://aclanthology.org/2021.nodalida-main.5/) *— 2021 · Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)*
78. [Facebook AI's WMT21 News Translation Task Submission](https://aclanthology.org/2021.wmt-1.19/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
79. [Factorising Meaning and Form for Intent-Preserving Paraphrasing](https://aclanthology.org/2021.acl-long.112/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
80. [Fast-MD: Fast Multi-Decoder End-to-End Speech Translation with Non-Autoregressive Hidden Intermediates](https://arxiv.org/abs/2109.12804) *— 2021 · arXiv:2109.12804*
81. [Few-shot Learning with Multilingual Language Models](https://arxiv.org/abs/2112.10668) *— 2021 · arXiv:2112.10668*
82. [Findings of the LoResMT 2021 Shared Task on COVID and Sign Language for Low-resource Languages](https://aclanthology.org/2021.mtsummit-loresmt.11/) *— 2021 · Proceedings of the 4th Workshop on Technologies for MT of Low Resource Languages (LoResMT2021)*
83. [Findings of the WMT 2021 Shared Task on Efficient Translation](https://aclanthology.org/2021.wmt-1.68/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
84. [Findings of the WMT 2021 Shared Tasks in Unsupervised MT and Very Low Resource Supervised MT](https://aclanthology.org/2021.wmt-1.72/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
85. [Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade](https://aclanthology.org/2021.findings-acl.11/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
86. [GFST: Gender-Filtered Self-Training for More Accurate Gender in Translation](https://aclanthology.org/2021.emnlp-main.123/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
87. [Generating Landmark Navigation Instructions from Maps as a Graph-to-Text Problem](https://aclanthology.org/2021.acl-long.41/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
88. [Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation](https://aclanthology.org/2021.acl-long.223/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
89. [HW-TSC's Participation in the WMT 2021 News Translation Shared Task](https://aclanthology.org/2021.wmt-1.21/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
90. [Harnessing Multilinguality in Unsupervised Machine Translation for Rare Languages](https://aclanthology.org/2021.naacl-main.89/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
91. [HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints](https://aclanthology.org/2021.emnlp-main.129/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
92. [How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology?](https://aclanthology.org/2021.findings-emnlp.60/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
93. [How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation](https://aclanthology.org/2021.findings-acl.313/) *— 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021*
94. [Importance-based Neuron Allocation for Multilingual Neural Machine Translation](https://aclanthology.org/2021.acl-long.445/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
95. [Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span Prediction](https://aclanthology.org/2021.acl-short.94/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
96. [Improving Machine Translation of Rare and Unseen Word Senses](https://aclanthology.org/2021.wmt-1.66/) *— 2021 · Proceedings of the Sixth Conference on Machine Translation*
97. [Improving Multilingual Neural Machine Translation with Auxiliary Source Languages](https://aclanthology.org/2021.findings-emnlp.260/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
98. [Improving Multilingual Translation by Representation and Gradient Regularization](https://aclanthology.org/2021.emnlp-main.578/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
99. [Improving Neural Machine Translation by Bidirectional Training](https://aclanthology.org/2021.emnlp-main.263/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
100. [Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task](https://aclanthology.org/2021.acl-long.328/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*

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