---
title: "Who cites COMET: A Neural Framework for MT Evaluation —…"
description: "The papers of the Elamur Research library that cite «COMET: A Neural Framework for MT Evaluation», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/cited-by/page/7/"
---
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# Who cites «COMET: A Neural Framework for MT Evaluation» · page 7

1167 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/rei-2020-comet-neural-framework-mt-evaluation/)

Pages: [1](https://md.research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/cited-by/) · … · [6](https://md.research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/cited-by/page/6/) · **7** · [8](https://md.research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/cited-by/page/8/) · … · [12](https://md.research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/cited-by/page/12/)

1. [FAME-MT Dataset: Formality Awareness Made Easy for Machine Translation Purposes](https://aclanthology.org/2024.eamt-1.16/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
2. [FINDINGS OF THE IWSLT 2024 EVALUATION CAMPAIGN](https://aclanthology.org/2024.iwslt-1.1/) *— 2024 · Proceedings of the 21st International Conference on Spoken Language Translation (IWSLT 2024)*
3. [Favi-Score: A Measure for Favoritism in Automated Preference Ratings for Generative AI Evaluation](https://aclanthology.org/2024.acl-long.243/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
4. [Findings of the WMT 2024 Biomedical Translation Shared Task: Test Sets on Abstract Level](https://aclanthology.org/2024.wmt-1.6/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
5. [Findings of the WMT 2024 Shared Task Translation into Low-Resource Languages of Spain: Blending Rule-Based and Neural Systems](https://aclanthology.org/2024.wmt-1.57/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
6. [Fine-Tuned Machine Translation Metrics Struggle in Unseen Domains](https://aclanthology.org/2024.acl-short.45/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
7. [Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice?](https://aclanthology.org/2024.emnlp-main.24/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
8. [Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation](https://aclanthology.org/2024.emnlp-main.949/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
9. [From Handcrafted Features to LLMs: A Brief Survey for Machine Translation Quality Estimation](https://arxiv.org/abs/2403.14118) *— 2024 · arXiv:2403.14118 · 2024 International Joint Conference on Neural Networks (IJCNN)*
10. [From LLM to NMT: Advancing Low-Resource Machine Translation with Claude](https://arxiv.org/abs/2404.13813) *— 2024 · arXiv:2404.13813*
11. [G-DIG: Towards Gradient-based DIverse and hiGh-quality Instruction Data Selection for Machine Translation](https://aclanthology.org/2024.acl-long.821/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
12. [GAATME: A Genetic Algorithm for Adversarial Translation Metrics Evaluation](https://aclanthology.org/2024.lrec-main.668/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
13. [GATTINA - GenerAtion of TiTles for Italian News Articles: A CALAMITA Challenge](https://aclanthology.org/2024.clicit-1.121/) *— 2024 · Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024)*
14. [GPT-4 vs. Human Translators: A Comprehensive Evaluation of Translation Quality Across Languages, Domains, and Expertise Levels](https://arxiv.org/abs/2407.03658) *— 2024 · arXiv:2407.03658*
15. [Gaining More Insight into Neural Semantic Parsing with Challenging Benchmarks](https://aclanthology.org/2024.dmr-1.17/) *— 2024 · Proceedings of the Fifth International Workshop on Designing Meaning Representations @ LREC-COLING 2024*
16. [Gender-specific Machine Translation with Large Language Models](https://aclanthology.org/2024.mrl-1.10/) *— 2024 · Proceedings of the Fourth Workshop on Multilingual Representation Learning (MRL 2024)*
17. [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*
18. [Graph Representations for Machine Translation in Dialogue Settings](https://aclanthology.org/2024.wmt-1.106/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
19. [Guardians of the Machine Translation Meta-Evaluation: Sentinel Metrics Fall In!](https://aclanthology.org/2024.acl-long.856/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
20. [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)*
21. [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*
22. [HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition](https://aclanthology.org/2024.acl-long.413/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
23. [HW-TSC 2024 Submission for the Quality Estimation Shared Task](https://aclanthology.org/2024.wmt-1.39/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
24. [HalluSafe at SemEval-2024 Task 6: An NLI-based Approach to Make LLMs Safer by Better Detecting Hallucinations and Overgeneration Mistakes](https://aclanthology.org/2024.semeval-1.22/) *— 2024 · Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)*
25. [High-quality Data-to-Text Generation for Severely Under-Resourced Languages with Out-of-the-box Large Language Models](https://aclanthology.org/2024.findings-eacl.98/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
26. [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)*
27. [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*
28. [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)*
29. [How Much Data is Enough Data? Fine-Tuning Large Language Models for In-House Translation: Performance Evaluation Across Multiple Dataset Sizes](https://aclanthology.org/2024.amta-research.20/) *— 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
30. [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)*
31. [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)*
32. [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*
33. [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*
34. [Implementing Gender-Inclusivity in MT Output using Automatic Post-Editing with LLMs](https://aclanthology.org/2024.eamt-1.48/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
35. [Improving In-context Learning of Multilingual Generative Language Models with Cross-lingual Alignment](https://aclanthology.org/2024.naacl-long.445/) *— 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. [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*
37. [Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasets](https://aclanthology.org/2024.findings-emnlp.128/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
38. [Improving NMT from a Low-Resource Source Language: A Use Case from Catalan to Chinese via Spanish](https://aclanthology.org/2024.eamt-1.20/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
39. [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)*
40. [IndicFinNLP: Financial Natural Language Processing for Indian Languages](https://aclanthology.org/2024.lrec-main.789/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
41. [Introducing the NewsPaLM MBR and QE Dataset: LLM-Generated High-Quality Parallel Data Outperforms Traditional Web-Crawled Data](https://aclanthology.org/2024.wmt-1.126/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
42. [Introduction au numéro spécial - Robustesse et limites des modèles de traitement automatique des langues Introduction to the special issue on robustness and limits of NLP models](https://aclanthology.org/2023.tal-2.1/) *— 2024*
43. [Investigating Neural Machine Translation for Low-Resource Languages: Using Bavarian as a Case Study](https://aclanthology.org/2024.sigul-1.20/) *— 2024 · Proceedings of the 3rd Annual Meeting of the Special Interest Group on Under-resourced Languages @ LREC-COLING 2024*
44. [Is Context Helpful for Chat Translation Evaluation?](https://arxiv.org/abs/2403.08314) *— 2024 · arXiv:2403.08314*
45. [Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment](https://aclanthology.org/2024.emnlp-main.427/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
46. [Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis](https://aclanthology.org/2024.wmt-1.127/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
47. [Iterative Translation Refinement with Large Language Models](https://aclanthology.org/2024.eamt-1.17/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
48. [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)*
49. [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)*
50. [Kreyòl-MT: Building MT for Latin American, Caribbean and Colonial African Creole Languages](https://aclanthology.org/2024.naacl-long.170/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
51. [LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models](https://aclanthology.org/2024.eacl-long.8/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
52. [LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback](https://aclanthology.org/2024.findings-naacl.92/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
53. [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*
54. [LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations](https://arxiv.org/abs/2410.02707) *— 2024 · arXiv:2410.02707*
55. [LLaMAX: Scaling Linguistic Horizons of LLM by Enhancing Translation Capabilities Beyond 100 Languages](https://aclanthology.org/2024.findings-emnlp.631/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
56. [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*
57. [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*
58. [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*
59. [Learning Personalized Alignment for Evaluating Open-ended Text Generation](https://aclanthology.org/2024.emnlp-main.737/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
60. [Learning from others” mistakes: Finetuning machine translation models with span-level error annotations](https://arxiv.org/abs/2410.16509) *— 2024 · arXiv:2410.16509*
61. [Leveraging AI Technologies for Enhanced Multimedia Localization](https://aclanthology.org/2024.amta-presentations.10/) *— 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 2: Presentations)*
62. [Leveraging Large Language Models for NLG Evaluation: Advances and Challenges](https://aclanthology.org/2024.emnlp-main.896/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
63. [Leveraging Synthetic Monolingual Data for Fuzzy-Match Augmentation in Neural Machine Translation: A Preliminary Study](https://aclanthology.org/2024.kemt-1.4/) *— 2024 · Proceedings of the First International Workshop on Knowledge-Enhanced Machine Translation*
64. [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)*
65. [Lost in Translationese? Reducing Translation Effect Using Abstract Meaning Representation](https://md.research.elamur.ai/free/en/papers/wein-2024-lost-translationese-reducing-translation-effect/) *— our card · 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
66. [Lost in the Source Language: How Large Language Models Evaluate the Quality of Machine Translation](https://aclanthology.org/2024.findings-acl.211/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
67. [M5 – A Diverse Benchmark to Assess the Performance of Large Multimodal Models Across Multilingual and Multicultural Vision-Language Tasks](https://aclanthology.org/2024.findings-emnlp.250/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
68. [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)*
69. [MT-Ranker: Reference-free machine translation evaluation by inter-system ranking](https://arxiv.org/abs/2401.17099) *— 2024 · arXiv:2401.17099*
70. [Machine Translation Meets Large Language Models: Evaluating ChatGPT”s Ability to Automatically Post-Edit Literary Texts](https://aclanthology.org/2024.ctt-1.7/) *— 2024 · Proceedings of the 1st Workshop on Creative-text Translation and Technology*
71. [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)*
72. [MetaMetrics-MT: Tuning Meta-Metrics for Machine Translation via Human Preference Calibration](https://aclanthology.org/2024.wmt-1.32/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
73. [MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task](https://aclanthology.org/2024.wmt-1.35/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
74. [Modeling User Preferences with Automatic Metrics: Creating a High-Quality Preference Dataset for Machine Translation](https://aclanthology.org/2024.emnlp-main.803/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
75. [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)*
76. [Multi-Target Cross-Lingual Summarization: a novel task and a language-neutral approach](https://aclanthology.org/2024.findings-emnlp.755/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
77. [Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers](https://arxiv.org/abs/2404.04925) *— 2024 · arXiv:2404.04925*
78. [Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis](https://aclanthology.org/2024.findings-naacl.176/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
79. [NEO-BENCH: Evaluating Robustness of Large Language Models with Neologisms](https://aclanthology.org/2024.acl-long.749/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
80. [Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles](https://aclanthology.org/2024.findings-naacl.33/) *— 2024 · Findings of the Association for Computational Linguistics: NAACL 2024*
81. [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)*
82. [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*
83. [Non-Exchangeable Conformal Language Generation with Nearest Neighbors](https://aclanthology.org/2024.findings-eacl.129/) *— 2024 · Findings of the Association for Computational Linguistics: EACL 2024*
84. [Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References](https://aclanthology.org/2024.naacl-long.367/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
85. [On Creating an English-Thai Code-switched Machine Translation in Medical Domain](https://aclanthology.org/2024.findings-emnlp.351/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
86. [On Instruction-Finetuning Neural Machine Translation Models](https://aclanthology.org/2024.wmt-1.114/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
87. [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*
88. [On Translating Technical Terminology: A Translation Workflow for Machine-Translated Acronyms](https://aclanthology.org/2024.amta-research.6/) *— 2024 · Proceedings of the 16th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
89. [On the True Distribution Approximation of Minimum Bayes-Risk Decoding](https://aclanthology.org/2024.naacl-short.38/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)*
90. [Optimising LLM-Driven Machine Translation with Context-Aware Sliding Windows](https://aclanthology.org/2024.wmt-1.101/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
91. [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*
92. [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)*
93. [POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation](https://aclanthology.org/2024.acl-long.537/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
94. [Patentformer: A Novel Method to Automate the Generation of Patent Applications](https://aclanthology.org/2024.emnlp-industry.101/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track*
95. [Paying More Attention to Source Context: Mitigating Unfaithful Translations from Large Language Model](https://aclanthology.org/2024.findings-acl.821/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
96. [Perceptions of Educators on MTQA Curriculum and Instruction](https://aclanthology.org/2024.eamt-1.41/) *— 2024 · Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1)*
97. [Pipeline Neural Data-to-text with Large Language Models](https://aclanthology.org/2024.inlg-main.27/) *— 2024 · Proceedings of the 17th International Natural Language Generation Conference*
98. [Pitfalls and Outlooks in Using COMET](https://aclanthology.org/2024.wmt-1.121/) *— 2024 · Proceedings of the Ninth Conference on Machine Translation*
99. [Prefix Text as a Yarn: Eliciting Non-English Alignment in Foundation Language Model](https://aclanthology.org/2024.findings-acl.722/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
100. [Pretraining Language Models Using Translationese](https://aclanthology.org/2024.emnlp-main.334/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*

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