---
title: "Sheng-Chieh Lin — papers of 2023 — Elamur Research"
description: "Sheng-Chieh Lin — 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/sheng-chieh-lin/year/2023/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/sheng-chieh-lin/year/2023/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Sheng-Chieh Lin](https://md.research.elamur.ai/free/en/authors/sheng-chieh-lin/) / 2023

# Sheng-Chieh Lin — papers of 2023 — Elamur Research

1 paper · [all years of Sheng-Chieh Lin](https://md.research.elamur.ai/free/en/authors/sheng-chieh-lin/#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*