🔗 Who cites «AAVENUE: Detecting LLM Biases on NLU Tasks in AAVE via a Novel Benchmark»

12 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «AAVENUE: Detecting LLM Biases on NLU Tasks in AAVE via a Novel Benchmark»

1. Disparities in LLM Reasoning Accuracy and Explanations: A Case Study on African American EnglisharXiv:2503.04099Runtao Zhou, Guangya Wan, Saadia Gabriel, et al.2025 · 6 citations
2. Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English VarietiesConference on Neural Information Processing Systems (NeurIPS)Jiyoung Lee, Seungho Kim, Jieun Han, et al.2025 · 3 citations
3. Reinforcing Stereotypes of Anger: Emotion AI on African American Vernacular EnglisharXiv:2511.10846Rebecca Dorn, Christina Chance, Casandra Rusti, et al.2025 · 1 citation
4. That Ain't Right: Assessing LLM Performance on QA in African American and West African English DialectsWidening NLP WorkshopWilliam Coggins, Jasmine McKenzie, Sangpil Youm, et al.2025 · 1 citation
5. Evaluating the Usage of African-American Vernacular English in Large Language ModelsarXiv:2602.21485Deja Dunlap, R. Thomas McCoy2026
6. LLMs Silently Correct African American English: Auditing and Mitigating Dialect Bias via Activation SteeringarXiv:2607.06845Huan Wu, Ali Emami, Muhammad Furquan Hassan, et al.2026
7. Side-by-side Comparison Amplifies Dialect Bias in Language ModelsACM Conference on Fairness, Accountability, and Transparency (FAccT)Kritee Kondapally, Claire J. Smerdon, Pooja C. Patel, et al.2026

5 more papers of our library cite it; they have no page here yet.

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