---
title: "USVSN Sai Prashanth — author profile and papers in our library"
description: "USVSN Sai Prashanth: 2 papers on Elamur Research (2022–2023), h-index 4 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/usvsn-sai-prashanth/"
---
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# USVSN Sai Prashanth

USVSN Sai Prashanth has 2 papers in our library, in 2022–2023, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Quentin Anthony](https://md.research.elamur.ai/free/en/authors/quentin-anthony/), [Stella Biderman](https://md.research.elamur.ai/free/en/authors/stella-biderman/), [Hailey Schoelkopf](https://md.research.elamur.ai/free/en/authors/hailey-schoelkopf/).

2 papers in our library · 2022–2023

[OpenAlex](https://openalex.org/A5033799563) · [**h-index 4**](https://openalex.org/authors/A5033799563) · [6 works](https://openalex.org/works?filter=author.id:A5033799563) · [661 citations](https://openalex.org/works?filter=author.id:A5033799563&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/usvsn-sai-prashanth/#papers) · [🔗 Cited 521 times in our library](https://md.research.elamur.ai/free/en/authors/usvsn-sai-prashanth/cited-by/) · [⭐ Paper Stars ranking: #2804](https://md.research.elamur.ai/free/en/paper-stars/page/29/#star-2804)

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

## Fields, topics and concepts

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

📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Cognitive Neuroscience · 1 work](https://md.research.elamur.ai/free/en/shelves/neuroscience/cognitive-neuroscience/) · [Neuroscience · 1 work](https://md.research.elamur.ai/free/en/shelves/neuroscience/)

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

## Works by year

### 2020s

[**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/usvsn-sai-prashanth/year/2023/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/usvsn-sai-prashanth/year/2022/)

## Papers

The most cited first (OpenAlex and our library).

1. **[GPT-NeoX-20B: An Open-Source Autoregressive Language Model](https://md.research.elamur.ai/free/en/papers/black-2022-gpt-neox-20b-open-source/)** *(2022 · 831 citations)* Large autoregressive language models are mostly owned by big companies and kept behind APIs or not released at all.
2. **[Emergent and Predictable Memorization in Large Language Models](https://md.research.elamur.ai/free/en/papers/biderman-2023-emergent-predictable-memorization-large-language/)** *(2023 · 123 citations)* Large language models sometimes reproduce training text word for word. This creates privacy and safety risks, especially when the text contains personal identifiable information (PII). Existing remedies such as deduplication reduce memorization only on average and cannot protect specific examples. Biderman et al. ask…

## Co-authors here

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

- [Quentin Anthony](https://md.research.elamur.ai/free/en/authors/quentin-anthony/) ×2
- [Stella Biderman](https://md.research.elamur.ai/free/en/authors/stella-biderman/) ×2
- [Hailey Schoelkopf](https://md.research.elamur.ai/free/en/authors/hailey-schoelkopf/)
- [Horace He](https://md.research.elamur.ai/free/en/authors/horace-he/)
- [Jason Phang](https://md.research.elamur.ai/free/en/authors/jason-phang/)
- [Kyle McDonell](https://md.research.elamur.ai/free/en/authors/kyle-mcdonell/)
- [Leo Gao](https://md.research.elamur.ai/free/en/authors/leo-gao/)
- [Lintang Sutawika](https://md.research.elamur.ai/free/en/authors/lintang-sutawika/)
- [Michael Pieler](https://md.research.elamur.ai/free/en/authors/michael-pieler/)

## Venues

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

- [BigScience Episode – Workshop on Challenges & Perspectives in Creating Large Language Models](https://md.research.elamur.ai/free/en/venues/bigscience/): [BigScience Episode – Workshop on Challenges & Perspectives in Creating Large Language Models 2022](https://md.research.elamur.ai/free/en/venues/bigscience/2022/)
- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/)

## Cited by

Papers of our library cite their works 521 times (of the 149,439 papers whose bibliographies we read); [136 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/usvsn-sai-prashanth/cited-by/).

Updated 2 November 2026
