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# Who cites «VALUE: Understanding Dialect Disparity in NLU»

47 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-2022-value-understanding-dialect-disparity-nlu/)

1. [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)*
2. [DiaLLM: An Investigation into the Robustness-Generation Gap in English Dialect Adaptation](https://arxiv.org/abs/2607.07669) *— 2026 · arXiv:2607.07669*
3. [DialectLLM: A Dialect-Aware Dialogue Generation Framework Beyond Standard American English](https://arxiv.org/abs/2601.22888) *— 2026 · arXiv:2601.22888*
4. [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*
5. [LLMs Silently Correct African American English: Auditing and Mitigating Dialect Bias via Activation Steering](https://arxiv.org/abs/2607.06845) *— 2026 · arXiv:2607.06845*
6. [TeochewBench: A Human-Reviewed Benchmark for Teochew Hanzi Translation](https://arxiv.org/abs/2609.18156) *— 2026 · arXiv:2609.18156*
7. [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*
8. [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)*
9. [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*
10. [Data Caricatures: On the Representation of African American Language in Pretraining Corpora](https://aclanthology.org/2025.acl-long.1416/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
11. [DialectGen: Benchmarking and Improving Dialect Robustness in Multimodal Generation](https://arxiv.org/abs/2510.14949) *— 2025 · arXiv:2510.14949*
12. [Disparities in LLM Reasoning Accuracy and Explanations: A Case Study on African American English](https://arxiv.org/abs/2503.04099) *— 2025 · arXiv:2503.04099*
13. [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*
14. [Large Language Models Discriminate Against Speakers of German Dialects](https://aclanthology.org/2025.emnlp-main.415/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
15. [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)*
16. [Reinforcing Stereotypes of Anger: Emotion AI on African American Vernacular English](https://arxiv.org/abs/2511.10846) *— 2025 · arXiv:2511.10846*
17. [Rejected Dialects: Biases Against African American Language in Reward Models](https://aclanthology.org/2025.findings-naacl.417/) *— 2025 · Findings of the Association for Computational Linguistics: NAACL 2025*
18. [Toward Responsible ASR for African American English Speakers: A Scoping Review of Bias and Equity in Speech Technology](https://arxiv.org/abs/2508.18288) *— 2025 · arXiv:2508.18288*
19. [Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English Varieties](https://arxiv.org/abs/2505.20875) *— 2025 · arXiv:2505.20875*
20. [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*
21. [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)*
22. [Dialect prejudice predicts AI decisions about people's character, employability, and criminality](https://arxiv.org/abs/2403.00742) *— 2024 · arXiv:2403.00742*
23. [Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness](https://aclanthology.org/2024.findings-acl.553/) *— 2024 · Findings of the Association for Computational Linguistics: ACL 2024*
24. [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)*
25. [MC$^2$: Towards Transparent and Culturally-Aware NLP for Minority Languages in China](https://aclanthology.org/2024.acl-long.479/) *— 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
26. [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)*
27. [``One-Size-Fits-All''''? Examining Expectations around What Constitute ``Fair'''' or ``Good'''' NLG System Behaviors](https://aclanthology.org/2024.naacl-long.61/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
28. [Bias and Fairness in Large Language Models: A Survey](https://arxiv.org/abs/2309.00770) *— 2023 · arXiv:2309.00770*
29. [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*
30. [Dialect-robust Evaluation of Generated Text](https://aclanthology.org/2023.acl-long.331/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
31. [Evaluation of African American Language Bias in Natural Language Generation](https://aclanthology.org/2023.emnlp-main.421/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
32. [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)*
33. [Parameter-Efficient Fine-Tuning Design Spaces](https://arxiv.org/abs/2301.01821) *— 2023 · arXiv:2301.01821*
34. [TADA : Task Agnostic Dialect Adapters for English](https://aclanthology.org/2023.findings-acl.51/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
35. [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*
36. [Holistic Evaluation of Language Models](https://arxiv.org/abs/2211.09110) *— 2022 · arXiv:2211.09110 · Published in Transactions on Machine Learning Research (TMLR), 2023*
37. [Prompting GPT-3 To Be Reliable](https://arxiv.org/abs/2210.09150) *— 2022 · arXiv:2210.09150*
38. caplan-2026-splits-flexible-sociocultural-linguistic-investigation
39. deas-2025-artificial-impressions-evaluating-large-language
40. finch-2025-finding-voice-exploring-potential-african
41. ghosh-2025-medequalqa-evaluating-biases-llms-counterfactual
42. gupta-2024-evaluating-robustness-open-dialogue-summarization
43. mikhael-2025-potential-c2xg-s-unsupervised-learning
44. park-2026-steering-llms-korean-local-speech
45. si-2023-readin-chinese-multi-task-benchmark
46. tang-2025-contextually-aligned-online-reviews-measure
47. zufle-2023-latent-feature-based-data-splits
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