---
title: "Who cites A Call for Clarity in Reporting BLEU Scores —…"
description: "The papers of the Elamur Research library that cite «A Call for Clarity in Reporting BLEU Scores», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/7/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/7/)

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# Who cites «A Call for Clarity in Reporting BLEU Scores» · page 7

2105 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/post-2018-call-clarity-reporting-bleu-scores/)

Pages: [1](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/) · … · [6](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/6/) · **7** · [8](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/8/) · … · [22](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/22/)

1. [Galician–Portuguese Neural Machine Translation System](https://aclanthology.org/2024.propor-2.30/) *— 2024 · Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 2*
2. [Gender Bias Evaluation in Machine Translation for Amharic, Tigrigna, and Afaan Oromoo](https://aclanthology.org/2024.gitt-1.1/) *— 2024 · Proceedings of the 2nd International Workshop on Gender-Inclusive Translation Technologies*
3. [Generalists vs. Specialists: Evaluating Large Language Models for Urdu](https://aclanthology.org/2024.findings-emnlp.426/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
4. [Generating Diverse Translation with Perturbed $k$NN-MT](https://aclanthology.org/2024.eacl-srw.2/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop*
5. [Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding](https://aclanthology.org/2024.findings-acl.503/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
6. [Generating from AMRs into High and Low-Resource Languages using Phylogenetic Knowledge and Hierarchical QLoRA Training (HQL)](https://aclanthology.org/2024.inlg-main.7/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference*
7. [Gradient Consistency-based Parameter Allocation for Multilingual Neural Machine Translation](https://aclanthology.org/2024.lrec-main.696/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
8. [Grammar-based Data Augmentation for Low-Resource Languages: The Case of Guarani-Spanish Neural Machine Translation](https://aclanthology.org/2024.naacl-long.354/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
9. [Graph Representations for Machine Translation in Dialogue Settings](https://aclanthology.org/2024.wmt-1.106/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
10. [Guiding In-Context Learning of LLMs through Quality Estimation for Machine Translation](https://aclanthology.org/2024.amta-research.9/) *— 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
11. [Guiding Large Language Models to Post-Edit Machine Translation with Error Annotations](https://aclanthology.org/2024.findings-naacl.265/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
12. [How Do Hyenas Deal with Human Speech? Speech Recognition and Translation with ConfHyena](https://aclanthology.org/2024.lrec-main.717/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
13. [How Does Quantization Affect Multilingual LLMs?](https://aclanthology.org/2024.findings-emnlp.935/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
14. [How Effective Are State Space Models for Machine Translation?](https://aclanthology.org/2024.wmt-1.111/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
15. [How Effective is Synthetic Data and Instruction Fine-tuning for Translation with Markup using LLMs?](https://aclanthology.org/2024.amta-research.8/) *— 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
16. [How Far can 100 Samples Go? Unlocking Zero-Shot Translation with Tiny Multi-Parallel Data](https://aclanthology.org/2024.findings-acl.896/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
17. [How Good is Zero-Shot MT Evaluation for Low Resource Indian Languages?](https://aclanthology.org/2024.acl-short.58/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
18. [How Transferable are Attribute Controllers on Pretrained Multilingual Translation Models?](https://aclanthology.org/2024.eacl-long.20/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
19. [Human Evaluation of the Usefulness of Fine-Tuned English Translators for the Guarani Mbya and Nheengatu Indigenous Languages](https://aclanthology.org/2024.propor-2.7/) *— 2024 · Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 2*
20. [Humanistic Buddhism Corpus: A Challenging Domain-Specific Dataset of English Translations for Classical and Modern Chinese](https://aclanthology.org/2024.lrec-main.737/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
21. [Hybrid Distillation from RBMT and NMT: Helsinki-NLP”s Submission to the Shared Task on Translation into Low-Resource Languages of Spain](https://aclanthology.org/2024.wmt-1.88/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
22. [I Have an Attention Bridge to Sell You: Generalization Capabilities of Modular Translation Architectures](https://aclanthology.org/2024.insights-1.5/) *— 2024 · Proceedings of the Fifth Workshop on Insights from Negative Results in NLP*
23. [INCLURE: a Dataset and Toolkit for Inclusive French Translation](https://aclanthology.org/2024.bucc-1.7/) *— 2024 · Proceedings of the 17th Workshop on Building and Using Comparable Corpora (BUCC) @ LREC-COLING 2024*
24. [Identifying Source Language Expressions for Pre-editing in Machine Translation](https://aclanthology.org/2024.lrec-main.755/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
25. [Impacts of Misspelled Queries on Translation and Product Search](https://aclanthology.org/2024.acl-long.750/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
26. [Improving Low-Resource Machine Translation for Formosan Languages Using Bilingual Lexical Resources](https://aclanthology.org/2024.findings-acl.670/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
27. [Improving Minimum Bayes Risk Decoding with Multi-Prompt](https://aclanthology.org/2024.emnlp-main.1255/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
28. [Improving Multilingual Neural Machine Translation by Utilizing Semantic and Linguistic Features](https://aclanthology.org/2024.findings-acl.620/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
29. [Improving Rare Word Translation With Dictionaries and Attention Masking](https://aclanthology.org/2024.amta-research.19/) *— 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
30. [Improving Sign Language Production in the Healthcare Domain Using UMLS and Multi-task Learning](https://aclanthology.org/2024.cl4health-1.1/) *— 2024 · Proceedings of the First Workshop on Patient-Oriented Language Processing (CL4Health) @ LREC-COLING 2024*
31. [Improving Unsupervised Neural Machine Translation via Training Data Self-Correction](https://aclanthology.org/2024.lrec-main.783/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
32. [Improving Vietnamese-English Medical Machine Translation](https://aclanthology.org/2024.lrec-main.784/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
33. [Improving the Quality of IWLST 2024 Cascade Offline Speech Translation and Speech-to-Speech Translation via Translation Hypothesis Ensembling with NMT models and Large Language Models](https://aclanthology.org/2024.iwslt-1.7/) *— 2024 · Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)*
34. [Interplay of Machine Translation, Diacritics, and Diacritization](https://aclanthology.org/2024.naacl-long.420/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
35. [Investigating Data Contamination in Modern Benchmarks for Large Language Models](https://aclanthology.org/2024.naacl-long.482/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
36. [Investigating Multi-Pivot Ensembling with Massively Multilingual Machine Translation Models](https://aclanthology.org/2024.insights-1.19/) *— 2024 · Proceedings of the Fifth Workshop on Insights from Negative Results in NLP*
37. [IruMozhi: Automatically classifying diglossia in Tamil](https://aclanthology.org/2024.findings-naacl.195/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
38. [Is Context Helpful for Chat Translation Evaluation?](https://arxiv.org/abs/2403.08314) *— 2024 · arXiv:2403.08314*
39. [Is Explanation All You Need? An Expert Survey on LLM-generated Explanations for Abusive Language Detection](https://aclanthology.org/2024.clicit-1.34/) *— 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)*
40. [Italian-Ligurian Machine Translation in Its Cultural Context](https://aclanthology.org/2024.sigul-1.21/) *— 2024 · Proceedings of the 3rd Annual Meeting of the Special Interest Group on Under-resourced Languages @ LREC-COLING 2024*
41. [JaParaPat: A Large-Scale Japanese-English Parallel Patent Application Corpus](https://aclanthology.org/2024.lrec-main.826/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
42. [KpopMT: Translation Dataset with Terminology for Kpop Fandom](https://aclanthology.org/2024.loresmt-1.3/) *— 2024 · Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)*
43. [LEGAL-UQA: A Low-Resource Urdu-English Dataset for Legal Question Answering](https://arxiv.org/abs/2410.13013) *— 2024 · arXiv:2410.13013*
44. [LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback](https://aclanthology.org/2024.findings-acl.488/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
45. [LLMs and Translation: different approaches to localization between Brazilian Portuguese and European Portuguese](https://aclanthology.org/2024.propor-1.5/) *— 2024 · Proceedings of the 16th International Conference on Computational Processing of Portuguese - Vol. 1*
46. [LLMs in Post-Translation Workflows: Comparing Performance in Post-Editing and Error Analysis](https://aclanthology.org/2024.eamt-1.32/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
47. [LMStyle Benchmark: Evaluating Text Style Transfer for Chatbots](https://arxiv.org/abs/2403.08943) *— 2024 · arXiv:2403.08943*
48. [Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level](https://aclanthology.org/2024.emnlp-main.860/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
49. [Language and Speech Technology for Central Kurdish Varieties](https://aclanthology.org/2024.lrec-main.877/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
50. [Language-Informed Beam Search Decoding for Multilingual Machine Translation](https://aclanthology.org/2024.findings-acl.932/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
51. [Large Language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuning](https://aclanthology.org/2024.findings-emnlp.328/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
52. [Large language models "ad referendum": How good are they at machine translation in the legal domain?](https://www.e-revistes.uji.es/index.php/monti/article/view/7514) *— 2024 · MonTI. Monografías de Traducción e Interpretación*
53. [Learning from Wrong Predictions in Low-Resource Neural Machine Translation](https://aclanthology.org/2024.lrec-main.896/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
54. [Length-aware Byte Pair Encoding for Mitigating Over-segmentation in Korean Machine Translation](https://aclanthology.org/2024.findings-acl.135/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
55. [Let”s Go Real Talk: Spoken Dialogue Model for Face-to-Face Conversation](https://aclanthology.org/2024.acl-long.860/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
56. [Leveraging Knowledge from Translation Memory for Globally and Locally Guiding Neural Machine Translation](https://aclanthology.org/2024.paclic-1.2/) *— 2024 · Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation*
57. [Leveraging Synthetic Audio Data for End-to-End Low-Resource Speech Translation](https://aclanthology.org/2024.iwslt-1.31/) *— 2024 · Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)*
58. [Lexically Grounded Subword Segmentation](https://aclanthology.org/2024.emnlp-main.421/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
59. [Linear-time Minimum Bayes Risk Decoding with Reference Aggregation](https://aclanthology.org/2024.acl-short.71/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
60. [Low-Resource Machine Translation through the Lens of Personalized Federated Learning](https://aclanthology.org/2024.findings-emnlp.514/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
61. [Low-resource neural machine translation with morphological modeling](https://aclanthology.org/2024.findings-naacl.13/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
62. [M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions](https://aclanthology.org/2024.acl-long.108/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
63. [MAGNET - MAchines GeNErating Translations: A CALAMITA Challenge](https://aclanthology.org/2024.clicit-1.120/) *— 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)*
64. [MAPLE: Micro Analysis of Pairwise Language Evolution for Few-Shot Claim Verification](https://aclanthology.org/2024.findings-eacl.79/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
65. [MSLC24 Submissions to the General Machine Translation Task](https://aclanthology.org/2024.wmt-1.7/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
66. [MSLC24: Further Challenges for Metrics on a Wide Landscape of Translation Quality](https://aclanthology.org/2024.wmt-1.34/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
67. [MT-PATCHER: Selective and Extendable Knowledge Distillation from Large Language Models for Machine Translation](https://aclanthology.org/2024.naacl-long.358/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
68. [MT-Ranker: Reference-free machine translation evaluation by inter-system ranking](https://arxiv.org/abs/2401.17099) *— 2024 · arXiv:2401.17099*
69. [Machine Translation Through Cultural Texts: Can Verses and Prose Help Low-Resource Indigenous Models?](https://aclanthology.org/2024.loresmt-1.12/) *— 2024 · Proceedings of the Seventh Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2024)*
70. [Measuring Uncertainty in Neural Machine Translation with Similarity-Sensitive Entropy](https://aclanthology.org/2024.eacl-long.129/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
71. [MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferences](https://arxiv.org/abs/2410.02381) *— 2024 · arXiv:2410.02381*
72. [Mitigating Hallucinations and Off-target Machine Translation with Source-Contrastive and Language-Contrastive Decoding](https://aclanthology.org/2024.eacl-short.4/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 2: Short Papers)*
73. [Mitigating Metric Bias in Minimum Bayes Risk Decoding](https://aclanthology.org/2024.wmt-1.109/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
74. [Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing](https://aclanthology.org/2024.emnlp-main.879/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
75. [Mitra: Improving Terminologically Constrained Translation Quality with Backtranslations and Flag Diacritics](https://aclanthology.org/2024.eamt-1.12/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
76. [Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts](https://aclanthology.org/2024.findings-acl.621/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
77. [Modularized Multilingual NMT with Fine-grained Interlingua](https://aclanthology.org/2024.naacl-long.328/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
78. [More Agents Is All You Need](https://arxiv.org/abs/2402.05120) *— 2024 · arXiv:2402.05120*
79. [More Insightful Feedback for Tutoring: Enhancing Generation Mechanisms and Automatic Evaluation](https://aclanthology.org/2024.emnlp-main.605/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
80. [More room for language: Investigating the effect of retrieval on language models](https://aclanthology.org/2024.naacl-short.26/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)*
81. [Multi-Dimensional Machine Translation Evaluation: Model Evaluation and Resource for Korean](https://aclanthology.org/2024.lrec-main.1024/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
82. [MultiMUC: Multilingual Template Filling on MUC-4](https://aclanthology.org/2024.eacl-long.21/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
83. [Multilingual Transfer and Domain Adaptation for Low-Resource Languages of Spain](https://aclanthology.org/2024.wmt-1.93/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
84. [Multilinguality or Back-translation? A Case Study with Estonian](https://aclanthology.org/2024.lrec-main.1033/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
85. [Navigating the Metrics Maze: Reconciling Score Magnitudes and Accuracies](https://aclanthology.org/2024.acl-long.110/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
86. [Nemotron-4 15B Technical Report](https://arxiv.org/abs/2402.16819) *— 2024 · arXiv:2402.16819*
87. [Neuron Specialization: Leveraging Intrinsic Task Modularity for Multilingual Machine Translation](https://aclanthology.org/2024.emnlp-main.374/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
88. [Non-Autoregressive Machine Translation as Constrained HMM](https://aclanthology.org/2024.findings-acl.735/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
89. [Normalizing without Modernizing: Keeping Historical Wordforms of Middle French while Reducing Spelling Variants](https://md.research.elamur.ai/free/en/papers/rubino-2024-normalizing-without-modernizing-keeping-historical/) *— our card · 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
90. [NovelTrans: System for WMT24 Discourse-Level Literary Translation](https://aclanthology.org/2024.wmt-1.98/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
91. [OWSM-CTC: An Open Encoder-Only Speech Foundation Model for Speech Recognition, Translation, and Language Identification](https://aclanthology.org/2024.acl-long.549/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
92. [On Instruction-Finetuning Neural Machine Translation Models](https://aclanthology.org/2024.wmt-1.114/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
93. [On Measuring Context Utilization in Document-Level MT Systems](https://aclanthology.org/2024.findings-eacl.113/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
94. [Open Language Data Initiative: Advancing Low-Resource Machine Translation for Karakalpak](https://aclanthology.org/2024.wmt-1.48/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
95. [Optimiser le choix des exemples pour la traduction automatique augmentée par des mémoires de traduction](https://aclanthology.org/2024.jeptalnrecital-taln.39/) *— 2024 · Actes de la 31ème Conférence sur le Traitement Automatique des Langues Naturelles, volume 1 : articles longs et prises de position*
96. [Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning](https://aclanthology.org/2024.emnlp-main.565/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
97. [Optimizing Rare Word Accuracy in Direct Speech Translation with a Retrieval-and-Demonstration Approach](https://aclanthology.org/2024.emnlp-main.708/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
98. [Overview of the GermEval 2024 Shared Task on Statement Segmentation in German Easy Language (StaGE)](https://aclanthology.org/2024.germeval-1.1/) *— 2024 · Proceedings of GermEval 2024 Shared Task on Statement Segmentation in German Easy Language (StaGE)*
99. [PAELLA: Parameter-Efficient Lightweight Language-Agnostic Captioning Model](https://aclanthology.org/2024.findings-naacl.225/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
100. [PEMA: An Offsite-Tunable Plug-in External Memory Adaptation for Language Models](https://aclanthology.org/2024.naacl-long.336/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*

Pages: [1](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/) · … · [6](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/6/) · **7** · [8](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/8/) · … · [22](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/22/)