--- title: "Bo Zhang — papers of 2024 — 5 papers, the most cited first" description: "Bo Zhang — papers of 2024: 5 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/bo-zhang/year/2024/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/bo-zhang/year/2024/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Bo Zhang](https://md.research.elamur.ai/free/en/authors/bo-zhang/) / 2024 # Bo Zhang — papers of 2024 — 5 papers, the most cited first 5 papers · [all years of Bo Zhang](https://md.research.elamur.ai/free/en/authors/bo-zhang/#years) - [DeepSeek-VL: Towards Real-World Vision-Language Understanding arXiv:2403.05525](https://md.research.elamur.ai/free/en/papers/lu-2024-deepseek-vl-real-world/) — Haoyu Lu, Wen Liu, Bo Zhang, et al. · 2024 · 208 citations **[MLVU: Benchmarking Multi-task Long Video Understanding](https://md.research.elamur.ai/free/en/papers/zhou-2024-mlvu-benchmarking-multi-task-long/) [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/)**Junjie Zhou, Yan Shu, Bo Zhao, et al.*2024 · 140 citations* **[mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document Understanding](https://md.research.elamur.ai/free/en/papers/hu-2024-mplug-docowl-1-5-unified/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Anwen Hu, Haiyang Xu, Jiabo Ye, et al.*2024 · 111 citations* - [MinerU: An Open-Source Solution for Precise Document Content Extraction arXiv:2409.18839](https://md.research.elamur.ai/free/en/papers/wang-2024-mineru-open-source-solution-precise/) — Bin Wang, Chao Xu, Xiaomeng Zhao, et al. · 2024 · 95 citations **[Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models](https://md.research.elamur.ai/free/en/papers/lu-2024-not-all-experts-are-equal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xudong Lu, Qi Liu, Yuhui Xu, et al.*2024 · 88 citations*