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

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/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-4/) · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-5/) · [6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-6/) · **7** · [8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-8/) · [9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-9/) · [10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-10/) · [11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-11/) · [12](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-12/) · [13](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-13/) · [14](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-14/) · [15](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-15/) · [16](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-16/) · [17](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-17/) · [18](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-18/) · [19](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-19/) · [20](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-20/) · [21](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-21/) · [22](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/post-2018-call-clarity-reporting-bleu-scores-22/)

1. [HaVQA: A Dataset for Visual Question Answering and Multimodal Research in Hausa Language](https://aclanthology.org/2023.findings-acl.646/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
2. [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*
3. [How do decoding algorithms distribute information in dialogue responses?](https://aclanthology.org/2023.findings-eacl.70/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
4. [Human Evaluation Reproduction Report for Data-to-text Generation with Macro Planning](https://aclanthology.org/2023.humeval-1.8/) *— 2023 · Proceedings of the 3rd Workshop on Human Evaluation of NLP Systems*
5. [Hybrid Transducer and Attention based Encoder-Decoder Modeling for Speech-to-Text Tasks](https://aclanthology.org/2023.acl-long.695/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
6. [ICE-Score: Instructing Large Language Models to Evaluate Code](https://arxiv.org/abs/2304.14317) *— 2023 · arXiv:2304.14317*
7. [Improving Formality-Sensitive Machine Translation Using Data-Centric Approaches and Prompt Engineering](https://aclanthology.org/2023.iwslt-1.40/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
8. [Improving Language Model Integration for Neural Machine Translation](https://aclanthology.org/2023.findings-acl.444/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
9. [Improving Long Context Document-Level Machine Translation](https://aclanthology.org/2023.codi-1.15/) *— 2023 · Proceedings of the 4th Workshop on Computational Approaches to Discourse (CODI 2023)*
10. [Improving Metrics for Speech Translation](https://aclanthology.org/2023.swisstext-1.3/) *— 2023 · Proceedings of the 8th edition of the Swiss Text Analytics Conference*
11. [Improving NER Research Workflows with SeqScore](https://aclanthology.org/2023.nlposs-1.17/) *— 2023 · Proceedings of the 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS 2023)*
12. [Improving Neural Machine Translation Formality Control with Domain Adaptation and Reranking-based Transductive Learning](https://aclanthology.org/2023.iwslt-1.13/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
13. [Improving Retrieval Augmented Neural Machine Translation by Controlling Source and Fuzzy-Match Interactions](https://aclanthology.org/2023.findings-eacl.22/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
14. [Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency Regularization](https://aclanthology.org/2023.findings-acl.766/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
15. [In-Image Neural Machine Translation with Segmented Pixel Sequence-to-Sequence Model](https://aclanthology.org/2023.findings-emnlp.1004/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
16. [In-context Examples Selection for Machine Translation](https://aclanthology.org/2023.findings-acl.564/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
17. [In-context Learning as Maintaining Coherency: A Study of On-the-fly Machine Translation Using Large Language Models](https://aclanthology.org/2023.mtsummit-research.15/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
18. [InSCIt: Information-Seeking Conversations with Mixed-Initiative Interactions](https://aclanthology.org/2023.tacl-1.27/) *— 2023 · Transactions of the Association for Computational Linguistics*
19. [IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation Metrics for Indian Languages](https://aclanthology.org/2023.acl-long.795/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
20. [IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages](https://arxiv.org/abs/2305.16307) *— 2023 · arXiv:2305.16307*
21. [InstructExcel: A Benchmark for Natural Language Instruction in Excel](https://aclanthology.org/2023.findings-emnlp.265/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
22. [Integrating Language Models into Direct Speech Translation: An Inference-Time Solution to Control Gender Inflection](https://aclanthology.org/2023.emnlp-main.705/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
23. [Integrating Translation Memories into Non-Autoregressive Machine Translation](https://aclanthology.org/2023.eacl-main.96/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
24. [Interactive Text Generation](https://aclanthology.org/2023.emnlp-main.270/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
25. [Investigating Lexical Replacements for Arabic-English Code-Switched Data Augmentation](https://aclanthology.org/2023.loresmt-1.7/) *— 2023 · Proceedings of the Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023)*
26. [Investigating the Effect of Relative Positional Embeddings on AMR-to-Text Generation with Structural Adapters](https://aclanthology.org/2023.eacl-main.51/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
27. [Investigating the Translation Performance of a Large Multilingual Language Model: the Case of BLOOM](https://arxiv.org/abs/2303.01911) *— 2023 · arXiv:2303.01911*
28. [Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine](https://arxiv.org/abs/2301.08745) *— 2023 · arXiv:2301.08745*
29. [Is ChatGPT a Good Multi-Party Conversation Solver?](https://aclanthology.org/2023.findings-emnlp.326/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
30. [It''s MBR All the Way Down: Modern Generation Techniques Through the Lens of Minimum Bayes Risk](https://aclanthology.org/2023.bigpicture-1.9/) *— 2023 · Proceedings of the Big Picture Workshop*
31. [JHU IWSLT 2023 Dialect Speech Translation System Description](https://aclanthology.org/2023.iwslt-1.26/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
32. [JWSign: A Highly Multilingual Corpus of Bible Translations for more Diversity in Sign Language Processing](https://aclanthology.org/2023.findings-emnlp.664/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
33. [Jambu: A historical linguistic database for South Asian languages](https://aclanthology.org/2023.sigmorphon-1.8/) *— 2023 · Proceedings of the 20th SIGMORPHON workshop on Computational Research in Phonetics, Phonology, and Morphology*
34. [KIT's Multilingual Speech Translation System for IWSLT 2023](https://aclanthology.org/2023.iwslt-1.6/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
35. [Knowledge Transfer in Incremental Learning for Multilingual Neural Machine Translation](https://aclanthology.org/2023.acl-long.852/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
36. [LMCap: Few-shot Multilingual Image Captioning by Retrieval Augmented Language Model Prompting](https://aclanthology.org/2023.findings-acl.104/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
37. [Language-Aware Multilingual Machine Translation with Self-Supervised Learning](https://aclanthology.org/2023.findings-eacl.38/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
38. [Learning Retrieval Augmentation for Personalized Dialogue Generation](https://aclanthology.org/2023.emnlp-main.154/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
39. [Learning Translation Quality Evaluation on Low Resource Languages from Large Language Models](https://arxiv.org/abs/2302.03491) *— 2023 · arXiv:2302.03491*
40. [Lessons on Parameter Sharing across Layers in Transformers](https://aclanthology.org/2023.sustainlp-1.5/) *— 2023 · Proceedings of the Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP)*
41. [Leveraging GPT-4 for Automatic Translation Post-Editing](https://aclanthology.org/2023.findings-emnlp.804/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
42. [Leveraging Multilingual Knowledge Graph to Boost Domain-specific Entity Translation of ChatGPT](https://aclanthology.org/2023.mtsummit-users.7/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 2: Users Track*
43. [Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory](https://arxiv.org/abs/2305.02437) *— 2023 · arXiv:2305.02437*
44. [Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation](https://aclanthology.org/2023.eacl-main.75/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
45. [MADLAD-400: A Multilingual And Document-Level Large Audited Dataset](https://arxiv.org/abs/2309.04662) *— 2023 · arXiv:2309.04662*
46. [MILPaC: A Novel Benchmark for Evaluating Translation of Legal Text to Indian Languages](https://arxiv.org/abs/2310.09765) *— 2023 · arXiv:2310.09765*
47. [MMNMT: Modularizing Multilingual Neural Machine Translation with Flexibly Assembled MoE and Dense Blocks](https://aclanthology.org/2023.emnlp-main.303/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
48. [MT Metrics Correlate with Human Ratings of Simultaneous Speech Translation](https://aclanthology.org/2023.iwslt-1.12/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
49. [MTCue: Learning Zero-Shot Control of Extra-Textual Attributes by Leveraging Unstructured Context in Neural Machine Translation](https://aclanthology.org/2023.findings-acl.521/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
50. [Machine Translation for Ge'ez Language](https://arxiv.org/abs/2311.14530) *— 2023 · arXiv:2311.14530*
51. [Machine Translation for Low-resource Finno-Ugric Languages](https://aclanthology.org/2023.nodalida-1.77/) *— 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)*
52. [Machine Translation for Nko: Tools, Corpora, and Baseline Results](https://aclanthology.org/2023.wmt-1.34/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
53. [Machine Translation with Large Language Models: Prompting, Few-shot Learning, and Fine-tuning with QLoRA](https://aclanthology.org/2023.wmt-1.43/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
54. [MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems](https://aclanthology.org/2023.findings-emnlp.372/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
55. [MeetingBank: A Benchmark Dataset for Meeting Summarization](https://aclanthology.org/2023.acl-long.906/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
56. [Memory-efficient NLLB-200: Language-specific Expert Pruning of a Massively Multilingual Machine Translation Model](https://aclanthology.org/2023.acl-long.198/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
57. [Metric Score Landscape Challenge (MSLC23): Understanding Metrics'' Performance on a Wider Landscape of Translation Quality](https://aclanthology.org/2023.wmt-1.65/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
58. [Mitigating Domain Mismatch in Machine Translation via Paraphrasing](https://aclanthology.org/2023.wat-1.2/) *— 2023 · Proceedings of the 10th Workshop on Asian Translation*
59. [Modality Adaption or Regularization? A Case Study on End-to-End Speech Translation](https://aclanthology.org/2023.acl-short.115/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
60. [Multi-VALUE: A Framework for Cross-Dialectal English NLP](https://md.mova.elamur.ai/free/en/docs/papers/ziems-2023-multi-value-framework-cross-dialectal/) *— our card · 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
61. [Multifaceted Challenge Set for Evaluating Machine Translation Performance](https://aclanthology.org/2023.wmt-1.22/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
62. [Multilingual Bidirectional Unsupervised Translation through Multilingual Finetuning and Back-Translation](https://aclanthology.org/2023.loresmt-1.2/) *— 2023 · Proceedings of the Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023)*
63. [Multilingual Simplification of Medical Texts](https://aclanthology.org/2023.emnlp-main.1037/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
64. [Murreviikko - A Dialectologically Annotated and Normalized Dataset of Finnish Tweets](https://aclanthology.org/2023.vardial-1.3/) *— 2023 · Tenth Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial 2023)*
65. [NAIST-NICT WMT'23 General MT Task Submission](https://aclanthology.org/2023.wmt-1.7/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
66. [NAVER LABS Europe's Multilingual Speech Translation Systems for the IWSLT 2023 Low-Resource Track](https://aclanthology.org/2023.iwslt-1.10/) *— 2023 · Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)*
67. [NITS-CNLP Low-Resource Neural Machine Translation Systems of English-Manipuri Language Pair](https://aclanthology.org/2023.wmt-1.92/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
68. [Neural Machine Translation Methods for Translating Text to Sign Language Glosses](https://aclanthology.org/2023.acl-long.700/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
69. [Non-autoregressive Machine Translation with Probabilistic Context-free Grammar](https://arxiv.org/abs/2311.07941) *— 2023 · arXiv:2311.07941*
70. [NorBench – A Benchmark for Norwegian Language Models](https://aclanthology.org/2023.nodalida-1.61/) *— 2023 · Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)*
71. [Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting](https://arxiv.org/abs/2305.07004) *— 2023 · arXiv:2305.07004*
72. [NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages](https://aclanthology.org/2023.eacl-main.57/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
73. [OPUS-CAT Terminology Systems for the WMT23 Terminology Shared Task](https://aclanthology.org/2023.wmt-1.83/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
74. [On Evaluating Multilingual Compositional Generalization with Translated Datasets](https://aclanthology.org/2023.acl-long.93/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
75. [On Search Strategies for Document-Level Neural Machine Translation](https://aclanthology.org/2023.findings-acl.811/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
76. [On-the-fly Cross-lingual Masking for Multilingual Pre-training](https://aclanthology.org/2023.acl-long.49/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
77. [One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning](https://aclanthology.org/2023.acl-long.418/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
78. [Opportunities and Challenges in Neural Dialog Tutoring](https://arxiv.org/abs/2301.09919) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
79. [Overview of the 10th Workshop on Asian Translation](https://aclanthology.org/2023.wat-1.1/) *— 2023 · Proceedings of the 10th Workshop on Asian Translation*
80. [PE effort and neural-based automatic MT metrics: do they correlate?](https://aclanthology.org/2023.eamt-1.31/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
81. [PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India](https://aclanthology.org/2023.findings-emnlp.777/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
82. [PROSE: A Pronoun Omission Solution for Chinese-English Spoken Language Translation](https://aclanthology.org/2023.emnlp-main.141/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
83. [PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing](https://arxiv.org/abs/2303.10845) *— 2023 · arXiv:2303.10845*
84. [ParroT: Translating during Chat using Large Language Models tuned with Human Translation and Feedback](https://aclanthology.org/2023.findings-emnlp.1001/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
85. [Pivot Translation for Zero-resource Language Pairs Based on a Multilingual Pretrained Model](https://aclanthology.org/2023.mtsummit-research.29/) *— 2023 · Proceedings of Machine Translation Summit XIX, Vol. 1: Research Track*
86. [Pointwise Mutual Information Based Metric and Decoding Strategy for Faithful Generation in Document Grounded Dialogs](https://aclanthology.org/2023.emnlp-main.639/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
87. [PolyLM: An Open Source Polyglot Large Language Model](https://arxiv.org/abs/2307.06018) *— 2023 · arXiv:2307.06018*
88. [Poor Man''s Quality Estimation: Predicting Reference-Based MT Metrics Without the Reference](https://aclanthology.org/2023.eacl-main.95/) *— 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics*
89. [Preserving Privacy Through Dememorization: An Unlearning Technique For Mitigating Memorization Risks In Language Models](https://aclanthology.org/2023.emnlp-main.265/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
90. [Privacy Issues in Large Language Models: A Survey](https://arxiv.org/abs/2312.06717) *— 2023 · arXiv:2312.06717*
91. [Prompting Large Language Model for Machine Translation: A Case Study](https://arxiv.org/abs/2301.07069) *— 2023 · arXiv:2301.07069*
92. [Prompting PaLM for Translation: Assessing Strategies and Performance](https://aclanthology.org/2023.acl-long.859/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
93. [Pulling Out All The Full Stops: Punctuation Sensitivity in Neural Machine Translation and Evaluation](https://aclanthology.org/2023.findings-acl.381/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
94. [QTSumm: Query-Focused Summarization over Tabular Data](https://aclanthology.org/2023.emnlp-main.74/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
95. [Quality Analysis of Multilingual Neural Machine Translation Systems and Reference Test Translations for the English-Romanian language pair in the Medical Domain](https://aclanthology.org/2023.eamt-1.35/) *— 2023 · Proceedings of the 24th Annual Conference of the European Association for Machine Translation*
96. [Query-Efficient Black-Box Red Teaming via Bayesian Optimization](https://aclanthology.org/2023.acl-long.646/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
97. [Red teaming ChatGPT via Jailbreaking: Bias, Robustness, Reliability and Toxicity](https://arxiv.org/abs/2301.12867) *— 2023 · arXiv:2301.12867*
98. [Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific Rewards](https://aclanthology.org/2023.findings-emnlp.16/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
99. [Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not Innocent](https://aclanthology.org/2023.wmt-1.51/) *— 2023 · Proceedings of the Eighth Conference on Machine Translation*
100. [Rethinking Round-Trip Translation for Machine Translation Evaluation](https://aclanthology.org/2023.findings-acl.22/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*

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