USVSN Sai Prashanth

USVSN Sai Prashanth has 2 papers in our library, in 2022–2023, most of them on Language models & pretraining; often with Quentin Anthony, Stella Biderman, Hailey Schoelkopf.

2 papers in our library · 2022–2023

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

Fields, topics and concepts

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

The most cited first (OpenAlex and our library).

GPT-NeoX-20B: An Open-Source Autoregressive Language Model (2022 · 831 citations)
Large autoregressive language models are mostly owned by big companies and kept behind APIs or not released at all.
Emergent and Predictable Memorization in Large Language Models (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…

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

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

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 →.

Updated 2 November 2026