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Who cites Dipankar Srirag

18 citations of their works from 13 papers of our library (of the 149,439 whose bibliographies we read) · 11 with a page here, the most cited first · ← Dipankar Srirag

  1. Analyzing Dialectical Biases in LLMs for Knowledge and Reasoning BenchmarksFindings of the Association for Computational LinguisticsEileen Pan, Anna Seo Gyeong Choi, Maartje Ter Hoeve, et al.2025 · 6 citations
  2. Predicting the Target Word of Game-playing Conversations using a Low-Rank Dialect Adapter for Decoder ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Dipankar Srirag, Aditya Joshi, Jacob Eisenstein2025 · 4 citations
  3. 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
  4. Improving Dialect Robustness in Large Language Models via LoRA and Mixture-of-ExpertsWorkshop on NLP for Similar Languages, Varieties and Dialects (VarDial)Sanjh Maheshwari, Aniket Singh Rajpoot, Oana Cocarascu, et al.2026 · 1 citation
  5. The Hrunting of AI: Where and How to Improve English Dialectal FairnessarXiv:2603.15187Wei Li, Adrian de Wynter2026 · 1 citation
  6. Harnessing Test-time Adaptation for NLU tasks Involving Dialects of EnglisharXiv:2503.12858Duke Nguyen, Aditya Joshi, Flora Salim2025 · 1 citation
  7. AmharicStoryQA: A Multicultural Story Question Answering Benchmark in AmharicarXiv:2602.02774Israel Abebe Azime, Abenezer Kebede Angamo, Hana Mekonen Tamiru, et al.2026
  8. DialectLLM: A Dialect-Aware Dialog[ue] Generation Framework Beyond Standard American EnglisharXiv:2601.22888Jio Oh, Paul Vicinanza, Thomas Butler, et al.2026
  9. DiaLLM: An Investigation into the Robustness-Generation Gap in English Dialect AdaptationarXiv:2607.07669Jordan Painter, Dipankar Srirag, Adarsh Kappiyath, et al.2026
  10. 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
  11. Measuring Distribution Shift in User Prompts and Its Effects on LLM PerformanceAnnual Meeting of the Association for Computational Linguistics (ACL)Parker Seegmiller, Sarah Masud Preum2026

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