---
title: "Vaishaal Shankar — papers of 2024 — Elamur Research"
description: "Vaishaal Shankar — papers of 2024: 2 papers on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/vaishaal-shankar/year/2024/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/vaishaal-shankar/year/2024/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Vaishaal Shankar](https://md.research.elamur.ai/free/en/authors/vaishaal-shankar/) / 2024

# Vaishaal Shankar — papers of 2024 — Elamur Research

2 papers · [all years of Vaishaal Shankar](https://md.research.elamur.ai/free/en/authors/vaishaal-shankar/#years)

- [Language models scale reliably with over-training and on downstream tasks arXiv:2403.08540](https://md.research.elamur.ai/free/en/papers/gadre-2024-language-models-scale-reliably-over/) — Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, et al. · 2024 · 46 citations

**[Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum](https://md.research.elamur.ai/free/en/papers/pouransari-2024-dataset-decomposition-faster-llm-training/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Hadi Pouransari, Chun-Liang Li, Jen-Hao Rick Chang, et al.*2024 · 16 citations*