[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/ziems-2023-multi-value-framework-cross-dialectal/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / Who cites «Multi-VALUE: A Framework for Cross-Dialectal English NLP»

# Who cites «Multi-VALUE: A Framework for Cross-Dialectal English NLP»

56 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/ziems-2023-multi-value-framework-cross-dialectal/)

1. [A Dialectal Corpus for Ukrainian: Collection, Classification, and Standardization](https://aclanthology.org/2026.dialres-1.14/) *— 2026 · Proceedings of the First Workshop on Dialects in NLP –- A Resource Perspective*
2. [DIA-HARM: Dialectal Disparities in Harmful Content Detection Across 50 English Dialects](https://aclanthology.org/2026.acl-long.144/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [DiaLLM: An Investigation into the Robustness-Generation Gap in English Dialect Adaptation](https://arxiv.org/abs/2607.07669) *— 2026 · arXiv:2607.07669*
4. [DialectLLM: A Dialect-Aware Dialogue Generation Framework Beyond Standard American English](https://arxiv.org/abs/2601.22888) *— 2026 · arXiv:2601.22888*
5. [How Does "English (US)" Become the Default? Triangulating Structural Bias Towards American English Across the LLM Pipeline](https://arxiv.org/abs/2604.04204) *— 2026 · arXiv:2604.04204*
6. [Improving Dialect Robustness in Large Language Models via LoRA and Mixture-of-Experts](https://aclanthology.org/2026.vardial-1.24/) *— 2026 · Proceedings of the 13th Workshop on NLP for Similar Languages, Varieties and Dialects*
7. [LLMs Silently Correct African American English: Auditing and Mitigating Dialect Bias via Activation Steering](https://arxiv.org/abs/2607.06845) *— 2026 · arXiv:2607.06845*
8. [TeochewBench: A Human-Reviewed Benchmark for Teochew Hanzi Translation](https://arxiv.org/abs/2609.18156) *— 2026 · arXiv:2609.18156*
9. [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*
10. [A Multi-Agent Framework for Mitigating Dialect Biases in Privacy Policy Question-Answering Systems](https://aclanthology.org/2025.acl-long.1554/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
11. [Analyzing Dialectical Biases in LLMs for Knowledge and Reasoning Benchmarks](https://aclanthology.org/2025.findings-emnlp.1139/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
12. [Assessing Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks](https://aclanthology.org/2025.acl-long.317/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
13. [BESSTIE: A Benchmark for Sentiment and Sarcasm Classification for Varieties of English](https://aclanthology.org/2025.findings-acl.441/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
14. [Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art](https://aclanthology.org/2025.tacl-1.31/) *— 2025 · Transactions of the Association for Computational Linguistics*
15. [Culture is Not Trivia: Sociocultural Theory for Cultural NLP](https://aclanthology.org/2025.acl-long.1256/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
16. [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)*
17. [DialectGen: Benchmarking and Improving Dialect Robustness in Multimodal Generation](https://arxiv.org/abs/2510.14949) *— 2025 · arXiv:2510.14949*
18. [EnDive: A Cross-Dialect Benchmark for Fairness and Performance in Large Language Models](https://aclanthology.org/2025.findings-emnlp.913/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
19. [Evaluating Dialect Robustness of Language Models via Conversation Understanding](https://aclanthology.org/2025.sumeval-2.3/) *— 2025 · Proceedings of the Second Workshop on Scaling Up Multilingual & Multi-Cultural Evaluation*
20. [Harnessing Test-time Adaptation for NLU tasks Involving Dialects of English](https://arxiv.org/abs/2503.12858) *— 2025 · arXiv:2503.12858*
21. [Nek Minit: Harnessing Pragmatic Metacognitive Prompting for Explainable Sarcasm Detection of Australian and Indian English](https://aclanthology.org/2025.alta-main.2/) *— 2025 · Proceedings of the 23rd Annual Workshop of the Australasian Language Technology Association*
22. [Predicting the Target Word of Game-playing Conversations using a Low-Rank Dialect Adapter for Decoder Models](https://aclanthology.org/2025.naacl-short.2/) *— 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)*
23. [Social Perceptions of English Spelling Variation on Twitter: A Comparative Analysis of Human and LLM Responses](https://arxiv.org/abs/2511.23041) *— 2025 · arXiv:2511.23041*
24. [Tokenization is Sensitive to Language Variation](https://aclanthology.org/2025.findings-acl.572/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
25. [Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English Varieties](https://arxiv.org/abs/2505.20875) *— 2025 · arXiv:2505.20875*
26. [When Claims Evolve: Evaluating and Enhancing the Robustness of Embedding Models Against Misinformation Edits](https://aclanthology.org/2025.findings-acl.1150/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
27. [AAVENUE: Detecting LLM Biases on NLU Tasks in AAVE via a Novel Benchmark](https://aclanthology.org/2024.nlp4pi-1.28/) *— 2024 · Proceedings of the Third Workshop on NLP for Positive Impact*
28. [DIALECTBENCH: An NLP Benchmark for Dialects, Varieties, and Closely-Related Languages](https://aclanthology.org/2024.acl-long.777/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
29. [Experiences from Creating a Benchmark for Sentiment Classification for Varieties of English](https://arxiv.org/abs/2410.11216) *— 2024 · arXiv:2410.11216*
30. [Exploring the Robustness of Task-oriented Dialogue Systems for Colloquial German Varieties](https://aclanthology.org/2024.eacl-long.28/) *— 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)*
31. [Language and Speech Technology for Central Kurdish Varieties](https://aclanthology.org/2024.lrec-main.877/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
32. [Leveraging Syntactic Dependencies in Disambiguation: The Case of African American English](https://aclanthology.org/2024.lrec-main.909/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
33. [Towards Equitable Natural Language Understanding Systems for Dialectal Cohorts: Debiasing Training Data](https://aclanthology.org/2024.lrec-main.1433/) *— 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)*
34. [Unintended Impacts of LLM Alignment on Global Representation](https://aclanthology.org/2024.acl-long.853/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
35. [Voices Unheard: NLP Resources and Models for Yorùbá Regional Dialects](https://aclanthology.org/2024.emnlp-main.251/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
36. [Can Large Language Models Transform Computational Social Science?](https://arxiv.org/abs/2305.03514) *— 2023 · arXiv:2305.03514*
37. [DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic Rules](https://md.mova.elamur.ai/free/en/docs/papers/liu-2023-dada-dialect-adaptation-dynamic-aggregation/) *— our card · 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
38. [Do ``English'' Named Entity Recognizers Work Well on Global Englishes?](https://aclanthology.org/2023.findings-emnlp.788/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
39. [TADA : Task Agnostic Dialect Adapters for English](https://aclanthology.org/2023.findings-acl.51/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
40. [Task-Agnostic Low-Rank Adapters for Unseen English Dialects](https://aclanthology.org/2023.emnlp-main.487/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
41. bengoetxea-2026-physical-commonsense-reasoning-lower-resourced
42. bharati-2026-american-palimpsest-quantifying-south-asian
43. deas-2025-artificial-impressions-evaluating-large-language
44. elshabrawy-2025-alignment-hurts-decoupling-representational-spaces
45. faisal-2025-dialectal-toxicity-detection-evaluating-llm
46. finch-2025-finding-voice-exploring-potential-african
47. le-2024-extractive-summarization-text-generator
48. le-2025-massively-multilingual-instruction-following-information
49. litschko-2026-resource-lean-lexicon-induction-german
50. liu-2024-confronting-llms-traditional-ml-rethinking
51. porwal-2025-analysis-llm-as-grammatical-feature
52. reusens-2025-native-design-bias-studying-impact
53. shim-2025-dialetto-ma-quanto-dialetto-transcribing
54. tang-2025-contextually-aligned-online-reviews-measure
55. venkateswaran-2026-investigation-linguistic-biases-llm-based
56. ziems-2025-culture-cartography-mapping-landscape-cultural
- [← previous Who cites «VALUE: Understanding Dialect Disparity in NLU»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ziems-2022-value-understanding-dialect-disparity-nlu/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)
