---
title: "Yashar Mehdad — papers of 2023 — 1 paper, the most cited first"
description: "Yashar Mehdad — 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/yashar-mehdad/year/2023/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yashar-mehdad/year/2023/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Yashar Mehdad](https://md.research.elamur.ai/free/en/authors/yashar-mehdad/) / 2023

# Yashar Mehdad — papers of 2023 — 1 paper, the most cited first

1 paper · [all years of Yashar Mehdad](https://md.research.elamur.ai/free/en/authors/yashar-mehdad/#years)

**[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*