🔗 Who cites «Airavata: Introducing Hindi Instruction-tuned LLM»

28 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · ← back to «Airavata: Introducing Hindi Instruction-tuned LLM»

1. IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Mohammed Safi Ur Rahman Khan, Priyam Mehta, Ananth Sankar, et al.2024 · 48 citations
2. Paramanu: Compact and Competitive Monolingual Language Models for Low-Resource Morphologically Rich Indian LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL)Mitodru Niyogi, Eric Gaussier, Arnab Bhattacharya2026 · 5 citations
3. IndicSteer: Inference-Time Safety Steering for Indic LLMsWorkshop on Stereotypes Across Cultures in Language TechnologiesRuhaib Muhammad, Saahas Vijayalakshmi Rajaram, Suriya Priyan Durairaj2026
4. Nanda Family: Open-Weights Generative Large Language Models for HindiConference of the European Chapter of the Association for Computational Linguistics (EACL)Aaryamonvikram Singh, Debopriyo Banerjee, Dhruv Sahnan, et al.2026

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

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