---
title: "Aastha Jhunjhunwala — author profile and papers in our library"
description: "Aastha Jhunjhunwala: 2 papers on Elamur Research (2024–2025), h-index 5 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/aastha-jhunjhunwala/"
---
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# Aastha Jhunjhunwala

Aastha Jhunjhunwala has 2 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Ayush Dattagupta](https://md.research.elamur.ai/free/en/authors/ayush-dattagupta/), [Chen Zhu](https://md.research.elamur.ai/free/en/authors/chen-zhu/), [Dan Su](https://md.research.elamur.ai/free/en/authors/dan-su/).

2 papers in our library · 2024–2025

[OpenAlex](https://openalex.org/A5036143185) · [**h-index 5**](https://openalex.org/authors/A5036143185) · [17 works](https://openalex.org/works?filter=author.id:A5036143185) · [137 citations](https://openalex.org/works?filter=author.id:A5036143185&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/aastha-jhunjhunwala/#papers) · [🔗 Cited 142 times in our library](https://md.research.elamur.ai/free/en/authors/aastha-jhunjhunwala/cited-by/) · [⭐ Paper Stars ranking: #9935](https://md.research.elamur.ai/free/en/paper-stars/page/100/#star-9935)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Aastha+Jhunjhunwala) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Aastha+Jhunjhunwala) · [dblp](https://dblp.org/search?q=Aastha+Jhunjhunwala) · [ACL Anthology](https://aclanthology.org/search/?q=Aastha+Jhunjhunwala)

## Affiliations

[🎓**National Institute of Technology Durgapur** Durgapur · India 2019–2022 · 3 papers](https://ror.org/04ds0jm32)

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.

📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Materials Science · 1 work](https://md.research.elamur.ai/free/en/shelves/materials-science/) · [Materials Chemistry · 1 work](https://md.research.elamur.ai/free/en/shelves/materials-science/materials-chemistry/)

🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/aastha-jhunjhunwala/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/aastha-jhunjhunwala/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Nemotron-4 15B Technical Report](https://md.research.elamur.ai/free/en/papers/parmar-2024-nemotron-4-15b-technical-report/)** *(2024 · 30 citations)* NVIDIA set out to build the strongest general-purpose LLM that fits on a single A100 or H100 GPU. Following the Chinchilla-inspired idea of spending compute on more data rather than more parameters, the authors trained a 15B-parameter decoder-only Transformer on 8 trillion tokens. The mix was about 70% English, 15%…
2. **[OmniScience: A Domain-Specialized LLM for Scientific Reasoning and Discovery](https://md.research.elamur.ai/free/en/papers/prabhakar-2025-omniscience-domain-specialized-llm-scientific/)** *(2025 · 13 citations)* General-purpose LLMs often lack the specialized vocabulary and multi-step reasoning that scientific problems require. Training a science model from scratch is very costly. The authors, from SES AI and NVIDIA, instead adapt LLaMA 3.1 70B in three stages:

## Co-authors here

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

- [Ayush Dattagupta](https://md.research.elamur.ai/free/en/authors/ayush-dattagupta/)
- [Chen Zhu](https://md.research.elamur.ai/free/en/authors/chen-zhu/)
- [Dan Su](https://md.research.elamur.ai/free/en/authors/dan-su/)
- [Deepak Narayanan](https://md.research.elamur.ai/free/en/authors/deepak-narayanan/)
- [Joseph Jennings](https://md.research.elamur.ai/free/en/authors/joseph-jennings/)
- [Jupinder Parmar](https://md.research.elamur.ai/free/en/authors/jupinder-parmar/)
- [Kai Liu](https://md.research.elamur.ai/free/en/authors/kai-liu/)
- [Mostofa Patwary](https://md.research.elamur.ai/free/en/authors/mostofa-patwary/)
- [Sandeep Subramanian](https://md.research.elamur.ai/free/en/authors/sandeep-subramanian/)
- [Shrimai Prabhumoye](https://md.research.elamur.ai/free/en/authors/shrimai-prabhumoye/)
- [Yao-Ting Wang](https://md.research.elamur.ai/free/en/authors/yao-ting-wang/)
- [Zihan Wang](https://md.research.elamur.ai/free/en/authors/zihan-wang/)

## Cited by

Papers of our library cite their works 142 times (of the 149,439 papers whose bibliographies we read); [55 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/aastha-jhunjhunwala/cited-by/).

Updated 3 November 2026
