🧑‍🔬 Adithya Renduchintala

🏛️ Affiliations

🎓Georgia Institute of TechnologyAtlanta · United States2025 · 1 papercurrent🏢NvidiaSanta Clara · United States2025 · 1 papercurrent🏢MetaMenlo Park · United States2020–2022 · 12 papers🎓Johns Hopkins UniversityBaltimore · United States2016–2021 · 11 papers🏢MetaLondon · United Kingdom2020–2022 · 9 papers🏢MetaTel Aviv · Israel2020 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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. NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model (2025 · 39 citations)
   Reasoning models spend most of their compute producing long chains of thought. In standard Transformers, the attention KV cache makes such long generations slow and memory-hungry. NVIDIA addresses this with Nemotron-Nano-9B-v2, which uses the Nemotron-H hybrid design: most self-attention layers are replaced by…
2. Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models (2025 · 38 citations)
   Self-attention costs grow with sequence length, both in compute per generated token and in KV-cache memory.

All works

6 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. Human-level play in the game of Diplomacy by combining language models with strategic reasoning ↗Science · no summary yetAnton Bakhtin et al.2022 · 328 citations
2. Quality Estimation without Human-labeled Data ↗Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume · no summary yetYi-Lin Tuan et al.2021 · 41 citations
3. NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning ModelarXiv:2508.14444NVIDIA: Aarti Basant, Abhijit Khairnar, Abhijit Paithankar, et al.2025 · 39 citations
4. Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer ModelsarXiv:2504.03624NVIDIA: Aaron Blakeman, Aarti Basant, Abhinav Khattar, et al.2025 · 38 citations
5. An Exploratory Study on Multilingual Quality Estimation ↗Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing · no summary yetShuo Sun et al.2020 · 14 citations
6. Machine Translation quality across demographic dialectal variation in Social Media. ↗Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 2: User Track) · no summary yetAdithya Renduchintala, Dmitriy Genzel2020

🤝 Co-authors here

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

• Abhinav Khattar ×2
• Akhiad Bercovich ×2
• Aleksander Ficek ×2
• Aarti Basant
• Alex Kondratenko
• Ameya Sunil Mahabaleshwarkar
• Andrew Tao
• NVIDIA: Aaron Blakeman

Venues

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

• Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 2: User Track)
• Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
• Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing
• Science

🔗 Cited by

Papers of our library cite their works 200 times (of the 149,439 papers whose bibliographies we read); 36 citing papers with a page here →.

Updated 30 October 2026

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