---
title: "Who cites VALUE: Understanding Dialect Disparity in NLU"
description: "The papers of the Elamur Research library that cite «VALUE: Understanding Dialect Disparity in NLU», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/ziems-2022-value-understanding-dialect-disparity-nlu/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [VALUE: Understanding Dialect Disparity in NLU](https://md.research.elamur.ai/free/en/papers/ziems-2022-value-understanding-dialect-disparity-nlu/) / cited by

# 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.research.elamur.ai/free/en/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. [Splits! Flexible Sociocultural Linguistic Investigation at Scale](https://aclanthology.org/2026.acl-long.117/) *— 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
7. [Steering LLMs toward Korean Local Speech: Iterative Refinement Framework for Faithful Dialect Translation](https://aclanthology.org/2026.lrec-1.256/) *— 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference*
8. [TeochewBench: A Human-Reviewed Benchmark for Teochew Hanzi Translation](https://arxiv.org/abs/2609.18156) *— 2026 · arXiv:2609.18156*
9. [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*
10. [Artificial Impressions: Evaluating Large Language Model Behavior Through the Lens of Trait Impressions](https://aclanthology.org/2025.emnlp-main.981/) *— 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing*
11. [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)*
12. [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*
13. [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)*
14. [DialectGen: Benchmarking and Improving Dialect Robustness in Multimodal Generation](https://arxiv.org/abs/2510.14949) *— 2025 · arXiv:2510.14949*
15. [Disparities in LLM Reasoning Accuracy and Explanations: A Case Study on African American English](https://arxiv.org/abs/2503.04099) *— 2025 · arXiv:2503.04099*
16. [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*
17. [Finding A Voice: Exploring the Potential of African American Dialect and Voice Generation for Chatbots](https://aclanthology.org/2025.acl-long.1252/) *— 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
18. [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*
19. [MEDEQUALQA: Evaluating Biases in LLMs with Counterfactual Reasoning](https://aclanthology.org/2025.sciprodllm-1.4/) *— 2025 · Proceedings of The First Workshop on Human–LLM Collaboration for Ethical and Responsible Science Production (SciProdLLM)*
20. [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)*
21. [Reinforcing Stereotypes of Anger: Emotion AI on African American Vernacular English](https://arxiv.org/abs/2511.10846) *— 2025 · arXiv:2511.10846*
22. [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*
23. [The potential of c2xg's unsupervised learning for metaphor extraction in African American novels](https://aclanthology.org/2025.cxgsnlp-1.21/) *— 2025 · Proceedings of the Second International Workshop on Construction Grammars and NLP*
24. [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*
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. [Using Contextually Aligned Online Reviews to Measure LLMs' Performance Disparities Across Language Varieties](https://aclanthology.org/2025.naacl-short.29/) *— 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)*
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. [Dialect prejudice predicts AI decisions about people's character, employability, and criminality](https://arxiv.org/abs/2403.00742) *— 2024 · arXiv:2403.00742*
30. [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*
31. [Evaluating Robustness of Open Dialogue Summarization Models in the Presence of Naturally Occurring Variations](https://aclanthology.org/2024.nlp4convai-1.4/) *— 2024 · Proceedings of the 6th Workshop on NLP for Conversational AI (NLP4ConvAI 2024)*
32. [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)*
33. [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)*
34. [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)*
35. [“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)*
36. [Bias and Fairness in Large Language Models: A Survey](https://arxiv.org/abs/2309.00770) *— 2023 · arXiv:2309.00770*
37. [DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic Rules](https://md.research.elamur.ai/free/en/papers/liu-2023-dada-dialect-adaptation-dynamic-aggregation/) *— our card · 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
38. [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)*
39. [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*
40. [Latent Feature-based Data Splits to Improve Generalisation Evaluation: A Hate Speech Detection Case Study](https://aclanthology.org/2023.genbench-1.9/) *— 2023 · Proceedings of the 1st GenBench Workshop on (Benchmarking) Generalisation in NLP*
41. [Multi-VALUE: A Framework for Cross-Dialectal English NLP](https://md.research.elamur.ai/free/en/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)*
42. [Parameter-Efficient Fine-Tuning Design Spaces](https://arxiv.org/abs/2301.01821) *— 2023 · arXiv:2301.01821*
43. [READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises](https://aclanthology.org/2023.acl-long.460/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
44. [TADA : Task Agnostic Dialect Adapters for English](https://aclanthology.org/2023.findings-acl.51/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
45. [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*
46. [Holistic Evaluation of Language Models](https://arxiv.org/abs/2211.09110) *— 2022 · arXiv:2211.09110 · Published in Transactions on Machine Learning Research (TMLR), 2023*
47. [Prompting GPT-3 To Be Reliable](https://arxiv.org/abs/2210.09150) *— 2022 · arXiv:2210.09150*