---
title: "Xilun Chen — papers of 2023 — 3 papers, the most cited first"
description: "Xilun Chen — papers of 2023: 3 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/xilun-chen/year/2023/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/xilun-chen/year/2023/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Xilun Chen](https://md.research.elamur.ai/free/en/authors/xilun-chen/) / 2023

# Xilun Chen — papers of 2023 — 3 papers, the most cited first

3 papers · [all years of Xilun Chen](https://md.research.elamur.ai/free/en/authors/xilun-chen/#years)

- [RA-DIT: Retrieval-Augmented Dual Instruction Tuning arXiv:2310.01352](https://md.research.elamur.ai/free/en/papers/lin-2023-ra-dit-retrieval-augmented-dual/) — Xi Victoria Lin, Xilun Chen, Mingda Chen, et al. · 2023 · 149 citations

**[Task-aware Retrieval with Instructions](https://md.research.elamur.ai/free/en/papers/asai-2023-task-aware-retrieval-instructions/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Akari Asai, Timo Schick, Patrick Lewis, et al.*2023 · 132 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*