---
title: "Peng Gao — papers of 2023 — 3 papers, the most cited first"
description: "Peng Gao — 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/peng-gao/year/2023/"
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# Peng Gao — papers of 2023 — 3 papers, the most cited first

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

- [LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention arXiv:2303.16199](https://md.research.elamur.ai/free/en/papers/zhang-2023-llama-adapter-efficient-fine-tuning/) — Renrui Zhang, Jiaming Han, Chris Liu, et al. · 2023 · 333 citations
- [LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model arXiv:2304.15010](https://md.research.elamur.ai/free/en/papers/gao-2023-llama-adapter-v2-parameter-efficient/) — Peng Gao, Jiaming Han, Renrui Zhang, et al. · 2023 · 229 citations
- [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