🔗 Who cites «Disparities in LLM Reasoning Accuracy and Explanations: A Case Study on African American English»

6 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «Disparities in LLM Reasoning Accuracy and Explanations: A Case Study on African American English»

1. 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
2. The Hrunting of AI: Where and How to Improve English Dialectal FairnessarXiv:2603.15187Wei Li, Adrian de Wynter2026 · 1 citation
3. DIA-HARM: Dialectal Disparities in Harmful Content Detection Across 50 English DialectsAnnual Meeting of the Association for Computational Linguistics (ACL)Jason S Lucas, Matt Murtagh White, Ali Al-Lawati, et al.2026
4. Evaluating the Usage of African-American Vernacular English in Large Language ModelsarXiv:2602.21485Deja Dunlap, R. Thomas McCoy2026
5. Individual and Combined Effects of English as a Second Language and Typos on LLM PerformancearXiv:2604.04723Serena Liu; Yutong Yang; Prisha Sheth; Weixuan Dong; Mingjiao Diao; Xinru Zhu; Nikhil Banga; Oscar Melendez; Arnav Sharma; Minda Zhao; Marina Lin;, Mengyu Wang2026
6. 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

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