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

1. DIA-HARM: Dialectal Disparities in Harmful Content Detection Across 50 English Dialects — 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 — 2026 · arXiv:2607.07669
3. DialectLLM: A Dialect-Aware Dialog[ue] Generation Framework Beyond Standard American English — 2026 · arXiv:2601.22888
4. How Does "English (US)" Become the Default? Triangulating Structural Bias Towards American English Across the LLM Pipeline — 2026 · arXiv:2604.04204
5. LLMs Silently Correct African American English: Auditing and Mitigating Dialect Bias via Activation Steering — 2026 · arXiv:2607.06845
6. Splits! Flexible Sociocultural Linguistic Investigation at Scale — 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 — 2026 · Proceedings of the Fifteenth Language Resources and Evaluation Conference
8. TeochewBench: A Human-Reviewed Benchmark for Teochew Hanzi Translation — 2026 · arXiv:2609.18156
9. Analyzing Dialectical Biases in LLMs for Knowledge and Reasoning Benchmarks — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
10. Artificial Impressions: Evaluating Large Language Model Behavior Through the Lens of Trait Impressions — 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 — 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 — 2025 · Transactions of the Association for Computational Linguistics
13. Data Caricatures: On the Representation of African American Language in Pretraining Corpora — 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 — 2025 · arXiv:2510.14949
15. Disparities in LLM Reasoning Accuracy and Explanations: A Case Study on African American English — 2025 · arXiv:2503.04099
16. EnDive: A Cross-Dialect Benchmark for Fairness and Performance in Large Language Models — 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 — 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 — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
19. MEDEQUALQA: Evaluating Biases in LLMs with Counterfactual Reasoning — 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 — 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 — 2025 · arXiv:2511.10846
22. Rejected Dialects: Biases Against African American Language in Reward Models — 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 — 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 — 2025 · arXiv:2508.18288
25. Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English Varieties — 2025 · arXiv:2505.20875
26. Using Contextually Aligned Online Reviews to Measure LLMs' Performance Disparities Across Language Varieties — 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 — 2024 · Proceedings of the Third Workshop on NLP for Positive Impact
28. DIALECTBENCH: An NLP Benchmark for Dialects, Varieties, and Closely-Related Languages — 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 — 2024 · arXiv:2403.00742
30. Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness — 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 — 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 — 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 — 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 — 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 — 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 — 2023 · arXiv:2309.00770
37. DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic Rules — our card · 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
38. Dialect-robust Evaluation of Generated Text — 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 — 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 — 2023 · Proceedings of the 1st GenBench Workshop on (Benchmarking) Generalisation in NLP
41. Multi-VALUE: A Framework for Cross-Dialectal English NLP — 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 — 2023 · arXiv:2301.01821
43. READIN: A Chinese Multi-Task Benchmark with Realistic and Diverse Input Noises — 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 — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
45. Task-Agnostic Low-Rank Adapters for Unseen English Dialects — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
46. Holistic Evaluation of Language Models — 2022 · arXiv:2211.09110 · Published in Transactions on Machine Learning Research (TMLR), 2023
47. Prompting GPT-3 To Be Reliable — 2022 · arXiv:2210.09150