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Who cites «IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages»

31 papers of our library cite it (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · ← back to «IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages»

  1. FineWeb2: One Pipeline to Scale Them All — Adapting Pre-Training Data Processing to Every LanguagearXiv:2506.20920Guilherme Penedo, Hynek Kydliček, Vinko Sabolčec, et al.2025 · 99 citations
  2. Quality or Quantity? On Data Scale and Diversity in Adapting Large Language Models for Low-Resource TranslationConference on Machine Translation (WMT)Vivek Iyer; Bhavitvya Malik; Pavel Stepachev; Pinzhen Chen; Barry Haddow;, Alexandra Birch2024 · 17 citations
  3. Better to Ask in English: Evaluation of Large Language Models on English, Low-resource and Cross-Lingual SettingsarXiv:2410.13153Krishno Dey, Prerona Tarannum, Md. Arid Hasan, et al.2024 · 16 citations
  4. Universal Dependencies for SindhiUniversal Dependencies Workshop (UDW)John Bauer, Sakiina Shah, Muhammad Shaheer, et al.2025

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

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