---
title: "Shane Arora — papers of 2023 — 1 paper, the most cited first"
description: "Shane Arora — papers of 2023: 1 paper on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/shane-arora/year/2023/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/shane-arora/year/2023/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Shane Arora](https://md.research.elamur.ai/free/en/authors/shane-arora/) / 2023

# Shane Arora — papers of 2023 — 1 paper, the most cited first

1 paper · [all years of Shane Arora](https://md.research.elamur.ai/free/en/authors/shane-arora/#years)

- [Understanding Retrieval Augmentation for Long-Form Question Answering arXiv:2310.12150](https://md.research.elamur.ai/free/en/papers/chen-2023-understanding-retrieval-augmentation-long-form/) — Hung-Ting Chen, Fangyuan Xu, Shane Arora, et al. · 2023 · 24 citations