---
title: "Noveen Sachdeva · Google — author profile and papers"
description: "Noveen Sachdeva, Google: 3 papers on Elamur Research (2023–2025), h-index 7 — affiliations, topics, co-authors and who cites them in our…"
canonical: "https://research.elamur.ai/free/en/authors/noveen-sachdeva/"
---
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# Noveen Sachdeva

Noveen Sachdeva has 3 papers in our library, in 2023–2025, 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/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Julian McAuley](https://md.research.elamur.ai/free/en/authors/julian-mcauley/), [Dan Zhang](https://md.research.elamur.ai/free/en/authors/dan-zhang/), [Ed H. Chi](https://md.research.elamur.ai/free/en/authors/ed-h-chi/).

3 papers in our library · 2023–2025

[OpenAlex](https://openalex.org/A5005200778) · [ORCID](https://orcid.org/0000-0003-1228-746X) · [Wikidata](https://www.wikidata.org/wiki/Q130837696) · [**h-index 7**](https://openalex.org/authors/A5005200778) · [26 works](https://openalex.org/works?filter=author.id:A5005200778) · [270 citations](https://openalex.org/works?filter=author.id:A5005200778&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/noveen-sachdeva/#papers) · [🔗 Cited 1,042 times in our library](https://md.research.elamur.ai/free/en/authors/noveen-sachdeva/cited-by/) · [⭐ Paper Stars ranking: #2655](https://md.research.elamur.ai/free/en/paper-stars/page/27/#star-2655)

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=Noveen+Sachdeva) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Noveen+Sachdeva) · [dblp](https://dblp.org/search?q=Noveen+Sachdeva) · [ACL Anthology](https://aclanthology.org/search/?q=Noveen+Sachdeva)

## Affiliations

[🏢**Google DeepMind** London · United Kingdom 2024–2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🏢**Google** Mountain View · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/google/) · [🎓**University of California San Diego** San Diego · United States 2021–2024 · 7 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-san-diego/) · [🎓**International Institute of Information Technology, Hyderabad** Hyderabad · India 2018–2020 · 4 papers](https://md.research.elamur.ai/free/en/universities/international-institute-of-information-technology-hyderabad/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

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

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[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/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 3 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/)

## Works by year

### 2020s

[**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/noveen-sachdeva/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/noveen-sachdeva/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/noveen-sachdeva/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities](https://md.research.elamur.ai/free/en/papers/comanici-2025-gemini-2-5-pushing-frontier/)** *(2025 · 974 citations)* This technical report from the Gemini Team at Google presents the Gemini 2.X family: Gemini 2.5 Pro, Gemini 2.5 Flash, and the earlier Gemini 2.0 Flash and Flash-Lite.
2. **[How to Train Data-Efficient LLMs](https://md.research.elamur.ai/free/en/papers/sachdeva-2024-train-data-efficient-llms/)** *(2024 · 50 citations)* Pre-training large language models consumes enormous amounts of data and compute, and scaling laws mean that simply adding more of either yields shrinking gains.
3. **[Data Distillation: A Survey](https://md.research.elamur.ai/free/en/papers/sachdeva-2023-data-distillation-survey/)** *(2023 · 37 citations)* Training large neural networks on ever-growing datasets is slow, costly and energy-hungry. This survey by Sachdeva and McAuley reviews data distillation: building a very small set of synthetic examples that can replace the full dataset for model training, architecture search and other procedures that repeatedly pass…

## Co-authors here

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

- [Julian McAuley](https://md.research.elamur.ai/free/en/authors/julian-mcauley/) ×2
- [Dan Zhang](https://md.research.elamur.ai/free/en/authors/dan-zhang/)
- [Ed H. Chi](https://md.research.elamur.ai/free/en/authors/ed-h-chi/)
- [Gheorghe Comanici](https://md.research.elamur.ai/free/en/authors/gheorghe-comanici/)
- [James Caverlee](https://md.research.elamur.ai/free/en/authors/james-caverlee/)
- [Jianmo Ni](https://md.research.elamur.ai/free/en/authors/jianmo-ni/)
- [Mike Schaekermann](https://md.research.elamur.ai/free/en/authors/mike-schaekermann/)
- [Ori Ram](https://md.research.elamur.ai/free/en/authors/ori-ram/)

## Cited by

Papers of our library cite their works 1,042 times (of the 149,439 papers whose bibliographies we read); [396 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/noveen-sachdeva/cited-by/).

Updated 3 November 2026
