🧑‍🔬 Mihir Kale

🏛️ Affiliations

🏢GoogleMountain View · United States2020–2022 · 21 papers🎓Carnegie Mellon UniversityPittsburgh · United States2018–2020 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer (2021 · 3,226 citations)
   Most widely used pre-trained checkpoints, including T5, were trained only on English, which limits their usefulness for most of the world's speakers.
2. Text-to-Text Pre-Training for Data-to-Text Tasks (2020 · 139 citations)
   The paper asks whether general-purpose text-to-text pre-training can replace specialised architectures for data-to-text generation, where structured input such as tables, dialogue acts or RDF-style triples must be turned into fluent text.

All works

8 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. mT5: A Massively Multilingual Pre-trained Text-to-Text TransformerConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Linting Xue, Noah Constant, Adam Roberts, et al.2021 · 3,226 citations
2. Gemma: Open Models Based on Gemini Research and Technology ↗arXiv:2403.08295 · no summary yetGemma Team et al.2024 · 1,313 citations
3. ByT5: Towards a Token-Free Future with Pre-trained Byte-to-Byte Models ↗Transactions of the Association for Computational Linguistics · no summary yetLinting Xue et al.2022 · 676 citations
4. Text-to-Text Pre-Training for Data-to-Text TasksarXiv:2005.10433Mihir Kale, Abhinav Rastogi2020 · 139 citations
5. Template Guided Text Generation for Task-Oriented Dialogue ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetMihir Kale, Abhinav Rastogi2020 · 94 citations
6. Improving Compositional Generalization with Self-Training for Data-to-Text Generation ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetSanket Vaibhav Mehta et al.2022 · 32 citations
7. XTREME-S: Evaluating Cross-lingual Speech Representations ↗Interspeech (USB) · no summary yetAlexis Conneau et al.2022 · 28 citations
8. RecurrentGemma: Moving Past Transformers for Efficient Open Language Models ↗arXiv (Cornell University) · no summary yetAleksandar Botev et al.2024 · 22 citations

🤝 Co-authors here

6 co-authors with a page, the most papers together first.

• Abhinav Rastogi
• Adam Roberts
• Aditya Siddhant
• Colin Raffel
• Noah Constant
• Rami Al-Rfou

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Workshop on Generation, Evaluation and Metrics (GEM)
• Conference of the North American Chapter of the Association for Computational Linguistics (NAACL): NAACL 2021
• Interspeech (USB)
• Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
• Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• Transactions of the Association for Computational Linguistics

🔗 Cited by

Papers of our library cite their works 6,873 times (of the 149,439 papers whose bibliographies we read); 1,419 citing papers with a page here →.

Updated 2 November 2026

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