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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

  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. TeochewBench: A Human-Reviewed Benchmark for Teochew Hanzi Translation — 2026 · arXiv:2609.18156
  7. Analyzing Dialectical Biases in LLMs for Knowledge and Reasoning Benchmarks — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  8. 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)
  9. Culturally Aware and Adapted NLP: A Taxonomy and a Survey of the State of the Art — 2025 · Transactions of the Association for Computational Linguistics
  10. 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)
  11. DialectGen: Benchmarking and Improving Dialect Robustness in Multimodal Generation — 2025 · arXiv:2510.14949
  12. Disparities in LLM Reasoning Accuracy and Explanations: A Case Study on African American English — 2025 · arXiv:2503.04099
  13. EnDive: A Cross-Dialect Benchmark for Fairness and Performance in Large Language Models — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
  14. Large Language Models Discriminate Against Speakers of German Dialects — 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 — 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 — 2025 · arXiv:2511.10846
  17. Rejected Dialects: Biases Against African American Language in Reward Models — 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 — 2025 · arXiv:2508.18288
  19. Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English Varieties — 2025 · arXiv:2505.20875
  20. AAVENUE: Detecting LLM Biases on NLU Tasks in AAVE via a Novel Benchmark — 2024 · Proceedings of the Third Workshop on NLP for Positive Impact
  21. 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)
  22. Dialect prejudice predicts AI decisions about people's character, employability, and criminality — 2024 · arXiv:2403.00742
  23. Disentangling Dialect from Social Bias via Multitask Learning to Improve Fairness — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
  24. 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)
  25. 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)
  26. 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)
  27. ``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)
  28. Bias and Fairness in Large Language Models: A Survey — 2023 · arXiv:2309.00770
  29. DADA: Dialect Adaptation via Dynamic Aggregation of Linguistic Rules — our card · 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  30. Dialect-robust Evaluation of Generated Text — 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 — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  32. 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)
  33. Parameter-Efficient Fine-Tuning Design Spaces — 2023 · arXiv:2301.01821
  34. TADA : Task Agnostic Dialect Adapters for English — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  35. Task-Agnostic Low-Rank Adapters for Unseen English Dialects — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  36. Holistic Evaluation of Language Models — 2022 · arXiv:2211.09110 · Published in Transactions on Machine Learning Research (TMLR), 2023
  37. Prompting GPT-3 To Be Reliable — 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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