---
title: "Who cites Personalizing News Headlines with — 1 citing paper"
description: "1 paper of the Elamur Research library cite «Personalizing News Headlines with Retrieval-Augmented Generation», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/wan-2026-personalizing-news-headlines-retrieval-augmented/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/wan-2026-personalizing-news-headlines-retrieval-augmented/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Personalizing News Headlines with…](https://md.research.elamur.ai/free/en/papers/wan-2026-personalizing-news-headlines-retrieval-augmented/) / cited by

# Who cites «Personalizing News Headlines with Retrieval-Augmented Generation»

1 paper of our library cites it (of the 149,439 whose bibliographies we read) · 1 with a page here, the most cited first · [← back to «Personalizing News Headlines with Retrieval-Augmented Generation»](https://md.research.elamur.ai/free/en/papers/wan-2026-personalizing-news-headlines-retrieval-augmented/)

1. [**Reading the News: Adapting Large Language Models to Swedish Journalism Through Continued Pre-Training arXiv:2608.30609**Lukas Borggren, Jenny Kunz, Marco Kuhlmann*2026*](https://md.research.elamur.ai/free/en/papers/borggren-2026-reading-news-adapting-large-language/)
- [← back to](https://md.research.elamur.ai/free/en/papers/wan-2026-personalizing-news-headlines-retrieval-augmented/) — Personalizing News Headlines with Retrieval-Augmented Generation
