---
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/13/"
---
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# Who cites «A Call for Clarity in Reporting BLEU Scores» · page 13

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/) · … · [12](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/12/) · **13** · [14](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/14/) · … · [22](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/22/)

1. [Towards Making the Most of ChatGPT for Machine Translation](https://aclanthology.org/2023.findings-emnlp.373/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
2. [Towards Real-World Streaming Speech Translation for Code-Switched Speech](https://aclanthology.org/2023.calcs-1.2/) *— 2023 · Proceedings of the 6th Workshop on Computational Approaches to Linguistic Code-Switching*
3. [Towards Speech Dialogue Translation Mediating Speakers of Different Languages](https://aclanthology.org/2023.findings-acl.72/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
4. [Towards Speech to Speech Machine Translation focusing on Indian Languages](https://aclanthology.org/2023.eacl-demo.19/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations*
5. [Towards a Better Understanding of Variations in Zero-Shot Neural Machine Translation Performance](https://aclanthology.org/2023.emnlp-main.836/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
6. [Towards a Deep Understanding of Multilingual End-to-End Speech Translation](https://aclanthology.org/2023.findings-emnlp.956/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
7. [Train Global, Tailor Local: Minimalist Multilingual Translation into Endangered Languages](https://aclanthology.org/2023.loresmt-1.1/) *— 2023 · Proceedings of the Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023)*
8. [Training Generative Question-Answering on Synthetic Data Obtained from an Instruct-tuned Model](https://aclanthology.org/2023.paclic-1.78/) *— 2023 · Proceedings of the 37th Pacific Asia Conference on Language, Information and Computation*
9. [Training Transformers with 4-bit Integers](https://arxiv.org/abs/2306.11987) *— 2023 · arXiv:2306.11987*
10. [Training and Meta-Evaluating Machine Translation Evaluation Metrics at the Paragraph Level](https://aclanthology.org/2023.wmt-1.96/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
11. [Treating General MT Shared Task as a Multi-Domain Adaptation Problem: HW-TSC”s Submission to the WMT23 General MT Shared Task](https://aclanthology.org/2023.wmt-1.16/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
12. [UMASS_BioNLP at MEDIQA-Chat 2023: Can LLMs generate high-quality synthetic note-oriented doctor-patient conversations?](https://aclanthology.org/2023.clinicalnlp-1.49/) *— 2023 · Proceedings of the 5th Clinical Natural Language Processing Workshop*
13. [UniChart: A Universal Vision-language Pretrained Model for Chart Comprehension and Reasoning](https://aclanthology.org/2023.emnlp-main.906/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
14. [UnitY: Two-pass Direct Speech-to-speech Translation with Discrete Units](https://aclanthology.org/2023.acl-long.872/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
15. [Unsupervised Feature Selection for Effective Parallel Corpus Filtering](https://aclanthology.org/2023.eamt-1.4/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
16. [Unsupervised Translation Quality Estimation Exploiting Synthetic Data and Pre-trained Multilingual Encoder](https://arxiv.org/abs/2311.05117) *— 2023 · arXiv:2311.05117*
17. [Using MT for multilingual covid-19 case load prediction from social media texts](https://aclanthology.org/2023.eamt-1.45/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
18. [VARCO-MT: NCSOFT”s WMT”23 Terminology Shared Task Submission](https://aclanthology.org/2023.wmt-1.84/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
19. [Varepsilon kú mask: Integrating Yorùbá cultural greetings into machine translation](https://aclanthology.org/2023.c3nlp-1.1/) *— 2023 · Proceedings of the First Workshop on Cross-Cultural Considerations in NLP (C3NLP)*
20. [Variable-length Neural Interlingua Representations for Zero-shot Neural Machine Translation](https://aclanthology.org/2023.multi3generation-1.3/) *— 2023 · Proceedings of the 1st International Workshop on Multilingual, Multimodal and Multitask Language Generation*
21. [Video-Helpful Multimodal Machine Translation](https://aclanthology.org/2023.emnlp-main.260/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
22. [Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens](https://aclanthology.org/2023.findings-emnlp.998/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
23. [VisText: A Benchmark for Semantically Rich Chart Captioning](https://aclanthology.org/2023.acl-long.401/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
24. [WACO: Word-Aligned Contrastive Learning for Speech Translation](https://aclanthology.org/2023.acl-long.216/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
25. [What Works When in Context-aware Neural Machine Translation?](https://aclanthology.org/2023.eamt-1.15/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
26. [What changes when you randomly choose BPE merge operations? Not much.](https://aclanthology.org/2023.insights-1.7/) *— 2023 · Proceedings of the Fourth Workshop on Insights from Negative Results in NLP*
27. [World Models for Math Story Problems](https://aclanthology.org/2023.findings-acl.579/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
28. [“A Little is Enough”: Few-Shot Quality Estimation based Corpus Filtering improves Machine Translation](https://aclanthology.org/2023.findings-acl.892/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
29. [kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation](https://aclanthology.org/2023.acl-long.105/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
30. [バイリンガルサブワード分割のためのEMアルゴリズム](https://www.anlp.jp/proceedings/annual_meeting/2023/#P6-12) *— 2023 · 言語処理学会 第29回年次大会 発表論文集 (NLP2023)*
31. [基于语音文本跨模态表征对齐的端到端语音翻译(End-to-end Speech Translation Based on Cross-modal Representation Alignment of Speech and Text)](https://aclanthology.org/2023.ccl-1.7/) *— 2023 · Proceedings of the 22nd Chinese National Conference on Computational Linguistics*
32. [多言語事前学習モデルのためのSentencePieceトークナイザーへのサブワード追加](https://www.anlp.jp/proceedings/annual_meeting/2023/#P6-13) *— 2023 · 言語処理学会 第29回年次大会 発表論文集 (NLP2023)*
33. [A Comparison of Data Filtering Methods for Neural Machine Translation](https://aclanthology.org/2022.amta-upg.22/) *— 2022 · Proceedings of the 15th Biennial Conference of the Association for Machine Translation in the Americas (Volume 2: Users and Providers Track and Government Track)*
34. [A Few Thousand Translations Go a Long Way! Leveraging Pre-trained Models for African News Translation](https://aclanthology.org/2022.naacl-main.223/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
35. [A Knowledge storage and semantic space alignment Method for Multi-documents dialogue generation](https://aclanthology.org/2022.dialdoc-1.14/) *— 2022 · Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering*
36. [A Multilingual Multiway Evaluation Data Set for Structured Document Translation of Asian Languages](https://aclanthology.org/2022.findings-aacl.23/) *— 2022 · Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022*
37. [A Natural Diet: Towards Improving Naturalness of Machine Translation Output](https://aclanthology.org/2022.findings-acl.263/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
38. [A Parallel Corpus and Dictionary for Amis-Mandarin Translation](https://aclanthology.org/2022.nlp4dh-1.11/) *— 2022 · Proceedings of the 2nd International Workshop on Natural Language Processing for Digital Humanities*
39. [A Semi-supervised Approach for a Better Translation of Sentiment in Dialectical Arabic UGT](https://aclanthology.org/2022.wanlp-1.20/) *— 2022 · Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)*
40. [A Simple and Fast Strategy for Handling Rare Words in Neural Machine Translation](https://aclanthology.org/2022.aacl-srw.6/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: Student Research Workshop*
41. [A Snapshot into the Possibility of Video Game Machine Translation](https://aclanthology.org/2022.amta-upg.18/) *— 2022 · Proceedings of the 15th Biennial Conference of the Association for Machine Translation in the Americas (Volume 2: Users and Providers Track and Government Track)*
42. [A Study of Re-generating Sentences Given Similar Sentences that Cover Them on the Level of Form and Meaning](https://aclanthology.org/2022.paclic-1.41/) *— 2022 · Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation*
43. [A Tale of Two Regulatory Regimes: Creation and Analysis of a Bilingual Privacy Policy Corpus](https://aclanthology.org/2022.lrec-1.585/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
44. [A Template-based Method for Constrained Neural Machine Translation](https://aclanthology.org/2022.emnlp-main.240/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
45. [A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge](https://arxiv.org/abs/2206.01718) *— 2022 · arXiv:2206.01718*
46. [ABC: Attention with Bounded-memory Control](https://aclanthology.org/2022.acl-long.515/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
47. [ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models](https://aclanthology.org/2022.findings-emnlp.136/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
48. [Accurate Online Posterior Alignments for Principled Lexically-Constrained Decoding](https://aclanthology.org/2022.acl-long.460/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
49. [Active Learning for Abstractive Text Summarization](https://aclanthology.org/2022.findings-emnlp.377/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
50. [Adam Mickiewicz University at WMT 2022: NER-Assisted and Quality-Aware Neural Machine Translation](https://aclanthology.org/2022.wmt-1.26/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
51. [Adapting to Non-Centered Languages for Zero-shot Multilingual Translation](https://aclanthology.org/2022.coling-1.467/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
52. [Adaptive Token-level Cross-lingual Feature Mixing for Multilingual Neural Machine Translation](https://aclanthology.org/2022.emnlp-main.687/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
53. [Additive Interventions Yield Robust Multi-Domain Machine Translation Models](https://aclanthology.org/2022.wmt-1.14/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
54. [Addressing Asymmetry in Multilingual Neural Machine Translation with Fuzzy Task Clustering](https://aclanthology.org/2022.coling-1.455/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
55. [Adversarially Improving NMT Robustness to ASR Errors with Confusion Sets](https://aclanthology.org/2022.aacl-short.28/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
56. [Alignment-Augmented Consistent Translation for Multilingual Open Information Extraction](https://aclanthology.org/2022.acl-long.179/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
57. [Amortized Noisy Channel Neural Machine Translation](https://aclanthology.org/2022.inlg-main.11/) *— 2022 · Proceedings of the 15th International Conference on Natural Language Generation*
58. [An Automatic Evaluation of the WMT22 General Machine Translation Task](https://arxiv.org/abs/2209.14172) *— 2022 · arXiv:2209.14172*
59. [Analysing the Correlation between Lexical Ambiguity and Translation Quality in a Multimodal Setting using WordNet](https://aclanthology.org/2022.naacl-srw.12/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop*
60. [Anticipation-Free Training for Simultaneous Machine Translation](https://aclanthology.org/2022.iwslt-1.5/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
61. [AppTek's Submission to the IWSLT 2022 Isometric Spoken Language Translation Task](https://aclanthology.org/2022.iwslt-1.34/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
62. [ArzEn-ST: A Three-way Speech Translation Corpus for Code-Switched Egyptian Arabic-English](https://aclanthology.org/2022.wanlp-1.12/) *— 2022 · Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)*
63. [Automatic Generation of Socratic Subquestions for Teaching Math Word Problems](https://aclanthology.org/2022.emnlp-main.277/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
64. [Automatic Scene-based Topic Channel Construction System for E-Commerce](https://aclanthology.org/2022.emnlp-industry.28/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Industry Track*
65. [Auxiliary Subword Segmentations as Related Languages for Low Resource Multilingual Translation](https://aclanthology.org/2022.eamt-1.16/) *— 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation*
66. [BERTSeg: BERT Based Unsupervised Subword Segmentation for Neural Machine Translation](https://aclanthology.org/2022.aacl-short.12/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
67. [BLOOM: A 176B-Parameter Open-Access Multilingual Language Model](https://arxiv.org/abs/2211.05100) *— 2022 · arXiv:2211.05100*
68. [BPE beyond Word Boundary: How NOT to use Multi Word Expressions in Neural Machine Translation](https://aclanthology.org/2022.insights-1.24/) *— 2022 · Proceedings of the Third Workshop on Insights from Negative Results in NLP*
69. [BPE vs. Morphological Segmentation: A Case Study on Machine Translation of Four Polysynthetic Languages](https://aclanthology.org/2022.findings-acl.78/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
70. [BanglaParaphrase: A High-Quality Bangla Paraphrase Dataset](https://aclanthology.org/2022.aacl-short.33/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
71. [Benchmarking Azerbaijani Neural Machine Translation](https://arxiv.org/abs/2207.14473) *— 2022 · arXiv:2207.14473*
72. [Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resources](https://aclanthology.org/2022.findings-emnlp.273/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
73. [Bi-SimCut: A Simple Strategy for Boosting Neural Machine Translation](https://aclanthology.org/2022.naacl-main.289/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
74. [Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand](https://aclanthology.org/2022.naacl-main.259/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
75. [Bilingual Synchronization: Restoring Translational Relationships with Editing Operations](https://aclanthology.org/2022.emnlp-main.548/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
76. [Block Diagram-to-Text: Understanding Block Diagram Images by Generating Natural Language Descriptors](https://aclanthology.org/2022.findings-aacl.15/) *— 2022 · Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022*
77. [Breaking Down Multilingual Machine Translation](https://aclanthology.org/2022.findings-acl.218/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
78. [Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation](https://aclanthology.org/2022.acl-long.456/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
79. [Building Machine Translation System for Software Product Descriptions Using Domain-specific Sub-corpora Extraction](https://aclanthology.org/2022.amta-research.1/) *— 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
80. [Building Multilingual Machine Translation Systems That Serve Arbitrary XY Translations](https://aclanthology.org/2022.naacl-main.44/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
81. [CAMERO: Consistency Regularized Ensemble of Perturbed Language Models with Weight Sharing](https://aclanthology.org/2022.acl-long.495/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
82. [CHIA: CHoosing Instances to Annotate for Machine Translation](https://aclanthology.org/2022.findings-emnlp.540/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
83. [CLLE: A Benchmark for Continual Language Learning Evaluation in Multilingual Machine Translation](https://aclanthology.org/2022.findings-emnlp.30/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
84. [CUNI-Bergamot Submission at WMT22 General Translation Task](https://aclanthology.org/2022.wmt-1.21/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
85. [CUNI-KIT System for Simultaneous Speech Translation Task at IWSLT 2022](https://aclanthology.org/2022.iwslt-1.24/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
86. [CVSS Corpus and Massively Multilingual Speech-to-Speech Translation](https://aclanthology.org/2022.lrec-1.720/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
87. [Can Domains Be Transferred across Languages in Multi-Domain Multilingual Neural Machine Translation?](https://aclanthology.org/2022.wmt-1.34/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
88. [Challenges with Sign Language Datasets for Sign Language Recognition and Translation](https://aclanthology.org/2022.lrec-1.264/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
89. [Chart-to-Text: A Large-Scale Benchmark for Chart Summarization](https://aclanthology.org/2022.acl-long.277/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
90. [Cheat Codes to Quantify Missing Source Information in Neural Machine Translation](https://aclanthology.org/2022.naacl-main.177/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
91. [Chunk-based Nearest Neighbor Machine Translation](https://aclanthology.org/2022.emnlp-main.284/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
92. [CipherDAug: Ciphertext based Data Augmentation for Neural Machine Translation](https://aclanthology.org/2022.acl-long.17/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
93. [CoQAR: Question Rewriting on CoQA](https://aclanthology.org/2022.lrec-1.13/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
94. [Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?](https://aclanthology.org/2022.emnlp-main.330/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
95. [Con-NAT: Contrastive Non-autoregressive Neural Machine Translation](https://aclanthology.org/2022.findings-emnlp.463/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
96. [ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation](https://aclanthology.org/2022.emnlp-main.574/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
97. [Constrained Regeneration for Cross-Lingual Query-Focused Extractive Summarization](https://aclanthology.org/2022.coling-1.236/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
98. [Context-Aware Abbreviation Expansion Using Large Language Models](https://aclanthology.org/2022.naacl-main.91/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
99. [Continual Learning of Neural Machine Translation within Low Forgetting Risk Regions](https://aclanthology.org/2022.emnlp-main.111/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
100. [Controllable Factuality in Document-Grounded Dialog Systems Using a Noisy Channel Model](https://aclanthology.org/2022.findings-emnlp.98/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*

Pages: [1](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/) · … · [12](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/12/) · **13** · [14](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/14/) · … · [22](https://md.research.elamur.ai/free/en/papers/post-2018-call-clarity-reporting-bleu-scores/cited-by/page/22/)