---
title: "Chang Zhou — papers"
description: "Chang Zhou: 8 papers in the Elamur Research library (2021–2024) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/chang-zhou/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chang-zhou/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Chang Zhou

# Chang Zhou

8 papers on this site (2021–2024)

[OpenAlex](https://openalex.org/A5102025315) · [ORCID](https://orcid.org/0000-0001-9241-702X) · h-index 34 · 87 works · 5523 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models](https://md.research.elamur.ai/free/en/papers/chen-2024-image-worth-1-2-tokens/) — Liang Chen, Haozhe Zhao, Tianyu Liu, et al. · 2024
- [How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition](https://md.research.elamur.ai/free/en/papers/dong-2024-how-abilities-large-language-models/) — Guanting Dong, Hongyi Yuan, Keming Lu, et al. · 2024
- [Qwen2-Audio Technical Report](https://md.research.elamur.ai/free/en/papers/chu-2024-qwen2-audio-technical-report/) — Yunfei Chu, Jin Xu, Qian Yang, et al. · 2024
- [Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models](https://md.research.elamur.ai/free/en/papers/chu-2023-qwen-audio-advancing-universal/) — Yunfei Chu, Jin Xu, Xiaohuan Zhou, et al. · 2023
- [Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond](https://md.research.elamur.ai/free/en/papers/bai-2023-qwen-vl-versatile-vision-language/) — Jinze Bai, Shuai Bai, Shusheng Yang, et al. · 2023
- [Scaling Relationship on Learning Mathematical Reasoning with Large Language Models](https://md.research.elamur.ai/free/en/papers/yuan-2023-scaling-relationship-learning-mathematical-reasoning/) — Zheng Yuan, Hongyi Yuan, Chengpeng Li, et al. · 2023
- [OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework](https://md.research.elamur.ai/free/en/papers/wang-2022-ofa-unifying-architectures-tasks-modalities/) — Peng Wang, An Yang, Rui Men, et al. · 2022
- [CogView: Mastering Text-to-Image Generation via Transformers](https://md.research.elamur.ai/free/en/papers/ding-2021-cogview-mastering-text-image/) — Ming Ding, Zhuoyi Yang, Wenyi Hong, et al. · 2021