---
title: "Barlas Oguz — papers of 2023 — 2 papers, the most cited first"
description: "Barlas Oguz — papers of 2023: 2 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Barlas Oguz — papers of 2023 — 2 papers, the most cited first

2 papers · [all years of Barlas Oguz](https://md.research.elamur.ai/free/en/authors/barlas-oguz/#years)

- [Effective Long-Context Scaling of Foundation Models arXiv:2309.16039](https://md.research.elamur.ai/free/en/papers/xiong-2023-effective-long-context-scaling-foundation/) — Wenhan Xiong, Jingyu Liu, Igor Molybog, et al. · 2023 · 184 citations

**[How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval](https://md.research.elamur.ai/free/en/papers/lin-2023-how-train-your-dragon-diverse/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sheng-Chieh Lin, Akari Asai, Minghan Li, et al.*2023 · 116 citations*