---
title: "Yu Qiao — papers of 2023 — 8 papers, the most cited first"
description: "Yu Qiao — papers of 2023: 8 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/yu-qiao/year/2023/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yu-qiao/year/2023/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Yu Qiao](https://md.research.elamur.ai/free/en/authors/yu-qiao/) / 2023

# Yu Qiao — papers of 2023 — 8 papers, the most cited first

8 papers · [all years of Yu Qiao](https://md.research.elamur.ai/free/en/authors/yu-qiao/#years)

**[MVBench: A Comprehensive Multi-modal Video Understanding Benchmark](https://md.research.elamur.ai/free/en/papers/li-2023-mvbench-comprehensive-multi-modal-video/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Kunchang Li, Yali Wang, Yinan He, et al.*2023 · 463 citations*

**[VideoChat: Chat-Centric Video Understanding](https://md.research.elamur.ai/free/en/papers/li-2023-videochat-chat-centric-video-understanding/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**KunChang Li, Yinan He, Yi Wang, et al.*2023 · 365 citations*

- [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

**[MM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/liu-2023-mm-safetybench-benchmark-safety-evaluation/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Xin Liu, Yichen Zhu, Jindong Gu, et al.*2023 · 152 citations*

- [Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory arXiv:2305.17144](https://md.research.elamur.ai/free/en/papers/zhu-2023-ghost-minecraft-generally-capable-agents/) — Xizhou Zhu, Yuntao Chen, Hao Tian, et al. · 2023 · 96 citations
- [TransNormerLLM: A Faster and Better Large Language Model with Improved TransNormer arXiv:2307.14995](https://md.research.elamur.ai/free/en/papers/qin-2023-transnormerllm-faster-better-large/) — Zhen Qin, Dong Li, Weigao Sun, et al. · 2023 · 33 citations