---
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/3/"
---
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# Who cites «COMET: A Neural Framework for MT Evaluation» · page 3

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/) · [2](https://md.research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/cited-by/page/2/) · **3** · [4](https://md.research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/cited-by/page/4/) · … · [12](https://md.research.elamur.ai/free/en/papers/rei-2020-comet-neural-framework-mt-evaluation/cited-by/page/12/)

1. [Translation with Thought: Difficulty-Adaptive Reasoning via Reinforcement Learning for Multi-Domain Machine Translation](https://aclanthology.org/2026.acl-long.1400/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
2. [Translation-Augmented Multilingual Summarization for Low-Resource Languages](https://aclanthology.org/2026.ltedi-1.10/) *— 2026 · Proceedings of the Sixth Workshop on Language Technology for Equality, Diversity, Inclusion*
3. [Under the Surface: Probing Tamil Paraphrase Intelligence](https://aclanthology.org/2026.starsem-conference.15/) *— 2026 · Proceedings of the 15th Joint Conference on Lexical and Computational Semantics (*SEM 2026)*
4. [Unlocking Fine-Grained Translation Quality Estimation in LRMs through Mutually Boosting Implicit and Explicit Reasoning](https://arxiv.org/abs/2605.31378) *— 2026 · arXiv:2605.31378*
5. [VERA: A Platform for Automatic and Human Evaluation of Machine Translation](https://aclanthology.org/2026.eamt-2.5/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 2)*
6. [VocabTailor: Dynamic Vocabulary Selection for Downstream Tasks in Small Language Models](https://aclanthology.org/2026.findings-acl.1418/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
7. [WIGVO: Real-Time Bidirectional Speech Translation over Legacy PSTN Calls via Dual-Session Echo Gating](https://aclanthology.org/2026.acl-demo.33/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)*
8. [What Makes Good Multilingual Reasoning? Disentangling Traces with Measurable Features](https://arxiv.org/abs/2604.04720) *— 2026 · arXiv:2604.04720*
9. [When Metrics Reward the Worst Translations: Internalizing Cultural Reasoning for Social Media Translation Evaluation](https://arxiv.org/abs/2609.08156) *— 2026 · arXiv:2609.08156*
10. [When the Gold Standard Isn”t Necessarily Standard: Challenges of Evaluating the Translation of User-Generated Content](https://aclanthology.org/2026.eamt-1.30/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
11. [Who Watches the Watchmen? Humans Disagree With Translation Metrics on Unseen Domains](https://aclanthology.org/2026.findings-acl.1145/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
12. [Why Mean Pooling Works: Quantifying Second-Order Collapse in Text Embeddings](https://aclanthology.org/2026.acl-long.2183/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
13. [Why do Large Language Models Fail in Low-resource Translation? Unraveling the Token Dynamics of Large Language Models for Machine Translation](https://aclanthology.org/2026.eamt-1.4/) *— 2026 · Proceedings of the 26th Annual Conference of the European Association for Machine Translation (Volume 1)*
14. [XQ-MEval: A Dataset with Cross-lingual Parallel Quality for Benchmarking Translation Metrics](https://aclanthology.org/2026.findings-acl.1846/) *— 2026 · Findings of the Association for Computational Linguistics: ACL 2026*
15. [Yuliia Frund; Sina Ahmadi. A Dialectal Corpus for Ukrainian: Collection, Classification, and Standardization // DialRes 2026 Workshop](https://aclanthology.org/2026.dialres-1.14/) *— 2026 · DialRes 2026 Workshop*
16. [“A Sacred Bird Called the Phoenix”. Auditing the most-used Parallel Corpus for German Sign Language Recognition and Translation](https://aclanthology.org/2026.signlang-1.9/) *— 2026 · Proceedings of the LREC 2026 12th Workshop on the Representation and Processing of Sign Languages: Language in Motion*
17. [(Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary Texts](https://aclanthology.org/2025.tacl-1.42/) *— 2025 · Transactions of the Association for Computational Linguistics*
18. [A Bayesian Optimization Approach to Machine Translation Reranking](https://aclanthology.org/2025.naacl-long.145/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
19. [A Confidence-based Acquisition Model for Self-supervised Active Learning and Label Correction](https://aclanthology.org/2025.tacl-1.7/) *— 2025 · Transactions of the Association for Computational Linguistics*
20. [A Cross-Lingual Perspective on Neural Machine Translation Difficulty](https://aclanthology.org/2025.wmt-1.21/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
21. [A Framework for Large-Scale Parallel Corpus Evaluation: Ensemble Quality Estimation Models Versus Human Assessment](https://aclanthology.org/2025.unlp-1.9/) *— 2025 · Proceedings of the Fourth Ukrainian Natural Language Processing Workshop (UNLP 2025)*
22. [A Gamified Evaluation and Recruitment Platform for Low Resource Language Machine Translation Systems](https://arxiv.org/abs/2506.11467) *— 2025 · arXiv:2506.11467*
23. [A Preliminary Study of AI Agent Model in Machine Translation](https://aclanthology.org/2025.wmt-1.32/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
24. [A Representation Level Analysis of NMT Model Robustness to Grammatical Errors](https://aclanthology.org/2025.findings-acl.451/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
25. [A Self-Distillation Recipe for Neural Machine Translation](https://aclanthology.org/2025.findings-acl.261/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
26. [A* Decoding for Machine Translation in LLMs - SRPOL Participation in WMT2025](https://aclanthology.org/2025.wmt-1.42/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
27. [ARGENT: Automatic Reference-free Evaluation for Open-Ended Text Generation without Source Inputs](https://aclanthology.org/2025.gem-1.8/) *— 2025 · Proceedings of the Fourth Workshop on Generation, Evaluation and Metrics (GEM\texttwosuperior)*
28. [Adapting IndicTrans2 for Legal Domain MT via QLoRA Fine-Tuning at JUST-NLP 2025](https://aclanthology.org/2025.justnlp-main.15/) *— 2025 · Proceedings of the 1st Workshop on NLP for Empowering Justice (JUST-NLP 2025)*
29. [Adaptive Originality Filtering: Rejection Based Prompting and RiddleScore for Culturally Grounded Multilingual Riddle Generation](https://arxiv.org/abs/2508.18709) *— 2025 · arXiv:2508.18709*
30. [Advancing Dialectal Arabic to Modern Standard Arabic Machine Translation](https://arxiv.org/abs/2507.20301) *— 2025 · arXiv:2507.20301*
31. [AfroBench: How Good are Large Language Models on African Languages?](https://aclanthology.org/2025.findings-acl.976/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
32. [AfroCS-xs: Creating a Compact, High-Quality, Human-Validated Code-Switched Dataset for African Languages](https://aclanthology.org/2025.acl-long.1601/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
33. [Align-then-Slide: A complete evaluation framework for Ultra-Long Document-Level Machine Translation](https://arxiv.org/abs/2509.03809) *— 2025 · arXiv:2509.03809*
34. [AlignX: Advancing Multilingual Large Language Models with Multilingual Representation Alignment](https://aclanthology.org/2025.emnlp-main.328/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
35. [Alleviating Distribution Shift in Synthetic Data for Machine Translation Quality Estimation](https://aclanthology.org/2025.acl-long.373/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
36. [An Empirical Study of Iterative Refinements for Non-autoregressive Translation](https://aclanthology.org/2025.acl-long.1443/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
37. [An LLM-as-a-judge Approach for Scalable Gender-Neutral Translation Evaluation](https://aclanthology.org/2025.gitt-1.3/) *— 2025 · Proceedings of the 3rd Workshop on Gender-Inclusive Translation Technologies (GITT 2025)*
38. [Analyzing and Evaluating Correlation Measures in NLG Meta-Evaluation](https://aclanthology.org/2025.naacl-long.111/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
39. [Angular Dispersion Accelerates $k$-Nearest Neighbors Machine Translation](https://aclanthology.org/2025.findings-emnlp.759/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
40. [Annotation-Efficient Language Model Alignment via Diverse and Representative Response Texts](https://aclanthology.org/2025.findings-emnlp.903/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
41. [Are Large Language Models for Education Reliable Across Languages?](https://aclanthology.org/2025.bea-1.44/) *— 2025 · Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2025)*
42. [Are Large Reasoning Models Good Translation Evaluators? Analysis and Performance Boost](https://arxiv.org/abs/2510.20780) *— 2025 · arXiv:2510.20780*
43. [Are Multi-Agents the new Pipeline Architecture for Data-to-Text Systems?](https://aclanthology.org/2025.inlg-main.33/) *— 2025 · Proceedings of the 18th International Natural Language Generation Conference*
44. [Assumed Identities: Quantifying Gender Bias in Machine Translation of Gender-Ambiguous Occupational Terms](https://aclanthology.org/2025.emnlp-main.1640/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
45. [Automatic Evaluation Metrics for Document-level Translation: Overview, Challenges and Trends](https://arxiv.org/abs/2504.14804) *— 2025 · arXiv:2504.14804*
46. [Automatic Evaluation of Language Generation Technology Based on Structure Alignment](https://aclanthology.org/2025.coling-main.512/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
47. [Automatically Generating Chinese Homophone Words to Probe Machine Translation Estimation Systems](https://aclanthology.org/2025.wnut-1.11/) *— 2025 · Proceedings of the Tenth Workshop on Noisy and User-generated Text*
48. [BEMEAE: Moving Beyond Exact Span Match for Event Argument Extraction](https://aclanthology.org/2025.naacl-long.295/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
49. [BUINUS at IWSLT: Evaluating the Impact of Data Augmentation and QLoRA-based Fine-Tuning for Maltese to English Speech Translation](https://aclanthology.org/2025.iwslt-1.26/) *— 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)*
50. [Balancing Translation Quality and Environmental Impact: Comparing Large and Small Language Models](https://aclanthology.org/2025.clicit-1.20/) *— 2025 · Proceedings of the Eleventh Italian Conference on Computational Linguistics (CLiC-it 2025)*
51. [Benchmarking Linguistic Diversity of Large Language Models](https://aclanthology.org/2025.tacl-1.69/) *— 2025 · Transactions of the Association for Computational Linguistics*
52. [Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation](https://aclanthology.org/2025.findings-acl.490/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
53. [Beyond English: The Impact of Prompt Translation Strategies across Languages and Tasks in Multilingual LLMs](https://aclanthology.org/2025.findings-naacl.73/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
54. [Beyond N-Grams: Rethinking Evaluation Metrics and Strategies for Multilingual Abstractive Summarization](https://aclanthology.org/2025.acl-long.932/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
55. [Beyond statistical significance: Quantifying uncertainty and statistical variability in multilingual and multitask NLP evaluation](https://aclanthology.org/2025.ijcnlp-long.125/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
56. [Beyond the Mode: Sequence-Level Distillation of Multilingual Translation Models for Low-Resource Language Pairs](https://aclanthology.org/2025.findings-naacl.372/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
57. [Break-Ideate-Generate (BrIdGe): Moving beyond Translations for Localization using LLMs](https://aclanthology.org/2025.naacl-industry.51/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: Industry Track)*
58. [C A N C E R: Corpus for Accurate Non-English Cancer-related Educational Resources](https://aclanthology.org/2025.globalnlp-1.22/) *— 2025 · Proceedings of the Workshop on Beyond English: Natural Language Processing for all Languages in an Era of Large Language Models*
59. [CHILL at SemEval-2025 Task 2: You Can”t Just Throw Entities and Hope–-Make Your LLM to Get Them Right](https://aclanthology.org/2025.semeval-1.75/) *— 2025 · Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025)*
60. [COCO-Urdu: A Large-Scale Urdu Image-Caption Dataset with Multimodal Quality Estimation](https://arxiv.org/abs/2509.09014) *— 2025 · arXiv:2509.09014*
61. [COMET-poly: Machine Translation Metric Grounded in Other Candidates](https://aclanthology.org/2025.wmt-1.63/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
62. [CREPE: Rapid Chest X-ray Report Evaluation by Predicting Multi-category Error Counts](https://aclanthology.org/2025.emnlp-main.1102/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
63. [Calibrating Translation Decoding with Quality Estimation on LLMs](https://arxiv.org/abs/2504.19044) *— 2025 · arXiv:2504.19044*
64. [Can QE-informed (Re)Translation lead to Error Correction?](https://arxiv.org/abs/2511.13884) *— 2025 · arXiv:2511.13884*
65. [Chain-of-Thought Reasoning Improves Context-Aware Translation with Large Language Models](https://arxiv.org/abs/2510.18077) *— 2025 · arXiv:2510.18077*
66. [Character-Aware English-to-Japanese Translation of Fictional Dialogue Using Speaker Embeddings and Back-Translation](https://aclanthology.org/2025.wmt-1.10/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
67. [Characterizing the Effects of Translation on Intertextuality using Multilingual Embedding Spaces](https://aclanthology.org/2025.naacl-short.14/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers)*
68. [Code-Switching Curriculum Learning for Multilingual Transfer in LLMs](https://aclanthology.org/2025.findings-acl.407/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
69. [Combining the Best of Both Worlds: A Method for Hybrid NMT and LLM Translation](https://aclanthology.org/2025.findings-acl.266/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
70. [Comparative Evaluation of Machine Translation Models Using Human-Translated Social Media Posts as References: Human-Translated Datasets](https://aclanthology.org/2025.loresmt-1.1/) *— 2025 · Proceedings of the Eighth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2025)*
71. [ConLoan: A Contrastive Multilingual Dataset for Evaluating Loanwords](https://aclanthology.org/2025.acl-long.1453/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
72. [Conditional MASK Discrete Diffusion Language Model](https://aclanthology.org/2025.emnlp-main.450/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
73. [Context Is Ubiquitous, but Rarely Changes Judgments: Revisiting Document-Level MT Evaluation](https://aclanthology.org/2025.wmt-1.5/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
74. [Contextual Cues in Machine Translation: Investigating the Potential of Multi-Source Input Strategies in LLMs and NMT Systems](https://aclanthology.org/2025.ranlp-1.127/) *— 2025 · Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing - Natural Language Processing in the Generative AI Era*
75. [Contextual Selection of Pseudo-terminology Constraints for Terminology-aware Neural Machine Translation in the IT Domain](https://aclanthology.org/2025.wmt-1.109/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
76. [ContrastScore: Towards Higher Quality, Less Biased, More Efficient Evaluation Metrics with Contrastive Evaluation](https://aclanthology.org/2025.ijcnlp-long.163/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
77. [Contrastive Learning for Task-Independent SpeechLLM-Pretraining](https://aclanthology.org/2025.findings-acl.445/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
78. [Conversational SimulMT: Efficient Simultaneous Translation with Large Language Models](https://aclanthology.org/2025.iwslt-1.8/) *— 2025 · Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)*
79. [Conveying Imagistic Thinking in Traditional Chinese Medicine Translation: A Prompt Engineering and LLM-Based Evaluation Framework](https://arxiv.org/abs/2511.23059) *— 2025 · arXiv:2511.23059*
80. [Cross-Lingual Auto Evaluation for Assessing Multilingual LLMs](https://aclanthology.org/2025.acl-long.1419/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
81. [Crosslingual Optimized Metric for Translation Assessment of Indian Languages](https://arxiv.org/abs/2509.17667) *— 2025 · arXiv:2509.17667*
82. [Culture-aware machine translation: the case study of low-resource language pair Catalan-Chinese](https://aclanthology.org/2025.mtsummit-1.12/) *— 2025 · Proceedings of Machine Translation Summit XX: Volume 1*
83. [D.Va: Validate Your Demonstration First Before You Use It](https://aclanthology.org/2025.acl-long.129/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
84. [DCU-ADAPT-modPB at the GEM”24 Data-to-Text Task: Analysis of Human Evaluation Results](https://aclanthology.org/2025.inlg-genchal.3/) *— 2025 · Proceedings of the 18th International Natural Language Generation Conference: Generation Challenges*
85. [DLUT and GTCOM's Large Language Model Based Translation System for WMT25](https://aclanthology.org/2025.wmt-1.49/) *— 2025 · Proceedings of the Tenth Conference on Machine Translation*
86. [D\”ejà Vu: Multilingual LLM Evaluation through the Lens of Machine Translation Evaluation](https://arxiv.org/abs/2504.11829) *— 2025 · arXiv:2504.11829*
87. [DaCoM: Strategies to Construct Domain-specific Low-resource Language Machine Translation Dataset](https://aclanthology.org/2025.coling-industry.53/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics: Industry Track*
88. [Data Augmentation for Low-resource Neural Machine Translation: A Systematic Analysis](https://aclanthology.org/2025.findings-ijcnlp.30/) *— 2025 · Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics*
89. [Decoding Uncertainty: The Impact of Decoding Strategies for Uncertainty Estimation in Large Language Models](https://aclanthology.org/2025.findings-emnlp.788/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
90. [DeepSeek-R1 vs. o3-mini: How Well can Reasoning LLMs Evaluate MT and Summarization?](https://arxiv.org/abs/2504.08120) *— 2025 · arXiv:2504.08120*
91. [Detect, Disambiguate, and Translate: On-Demand Visual Reasoning for Multimodal Machine Translation with Large Vision-Language Models](https://aclanthology.org/2025.naacl-long.74/) *— 2025 · Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
92. [DialUp! Modeling the Language Continuum by Adapting Models to Dialects and Dialects to Models](https://aclanthology.org/2025.acl-long.989/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
93. [Dialectal and Low Resource Machine Translation for Aromanian](https://aclanthology.org/2025.coling-main.481/) *— 2025 · Proceedings of the 31st International Conference on Computational Linguistics*
94. [Did Translation Models Get More Robust Without Anyone Even Noticing?](https://aclanthology.org/2025.acl-long.122/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
95. [Different Speech Translation Models Encode and Translate Speaker Gender Differently](https://aclanthology.org/2025.acl-short.78/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
96. [Diffusion Directed Acyclic Transformer for Non-Autoregressive Machine Translation](https://aclanthology.org/2025.acl-short.64/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
97. [Dis2Dis: Explaining Ambiguity in Fact-Checking](https://aclanthology.org/2025.findings-naacl.14/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
98. [DiscoX: Benchmarking Discourse-Level Translation task in Expert Domains](https://arxiv.org/abs/2511.10984) *— 2025 · arXiv:2511.10984*
99. [Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decoding](https://aclanthology.org/2025.acl-long.1410/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
100. [Do My Eyes Deceive Me? A Survey of Human Evaluations of Hallucinations in NLG](https://aclanthology.org/2025.inlg-main.4/) *— 2025 · Proceedings of the 18th International Natural Language Generation Conference*

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