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

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Yaru Hao](https://md.research.elamur.ai/free/en/authors/yaru-hao/) / 2023

# Yaru Hao — papers of 2023 — 3 papers, the most cited first

3 papers · [all years of Yaru Hao](https://md.research.elamur.ai/free/en/authors/yaru-hao/#years)

**[Language Is Not All You Need: Aligning Perception with Language Models](https://md.research.elamur.ai/free/en/papers/huang-2023-language-all-need-aligning-perception/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Shaohan Huang, Li Dong, Wenhui Wang, et al.*2023 · 330 citations*

- [Kosmos-2: Grounding Multimodal Large Language Models to the World arXiv:2306.14824](https://md.research.elamur.ai/free/en/papers/peng-2023-kosmos-2-grounding-multimodal-large/) — Zhiliang Peng, Wenhui Wang, Li Dong, et al. · 2023 · 286 citations

**[Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers](https://md.research.elamur.ai/free/en/papers/dai-2023-why-can-gpt-learn-context/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Damai Dai, Yutao Sun, Li Dong, et al.*2023 · 257 citations*