---
title: "Peng Xu — papers of 2023 — 2 papers, the most cited first"
description: "Peng Xu — papers of 2023: 2 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/peng-xu/year/2023/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/peng-xu/year/2023/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Peng Xu](https://md.research.elamur.ai/free/en/authors/peng-xu/) / 2023

# Peng Xu — papers of 2023 — 2 papers, the most cited first

2 papers · [all years of Peng Xu](https://md.research.elamur.ai/free/en/authors/peng-xu/#years)

- [OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models arXiv:2308.13137](https://md.research.elamur.ai/free/en/papers/shao-2023-omniquant-omnidirectionally-calibrated-quantization-large/) — Wenqi Shao, Mengzhao Chen, Zhaoyang Zhang, et al. · 2023 · 195 citations
- [Retrieval meets Long Context Large Language Models arXiv:2310.03025](https://md.research.elamur.ai/free/en/papers/xu-2023-retrieval-meets-long-context-large/) — Peng Xu, Wei Ping, Xianchao Wu, et al. · 2023 · 130 citations
