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Aarti Basant

Aarti Basant has 2 papers in our library, in 2025, most of them on Language models & pretraining, Reasoning; often with Abhinav Khattar, Akhiad Bercovich, Aleksander Ficek.

2 papers in our library · 2025

OpenAlex · h-index 4 · 10 works · 242 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 123 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7430

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution 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. 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.
  2. Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning (2025 · 27 citations)
    NVIDIA presents Nemotron 3 Nano 30B-A3B, an open language model for agentic use, reasoning and chat that aims for a better balance between accuracy and inference speed.

All works

3 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. 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
  2. Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic ReasoningarXiv:2512.20848NVIDIA: Aaron Blakeman, Aaron Grattafiori, Aarti Basant, et al.2025 · 27 citations
  3. Cosmos 3: Omnimodal World Models for Physical AI ↗arXiv (Cornell University) · no summary yetNVIDIA et al.2026 · 19 citations

 Co-authors here

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

 Cited by

Papers of our library cite their works 123 times (of the 149,439 papers whose bibliographies we read); 19 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/aarti-basant/