--- title: "Who cites Zhengyuan Yang" description: "785 papers of the Elamur Research library cite the works of Zhengyuan Yang, found in their bibliographies · page 1 of 4; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/zhengyuan-yang/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/zhengyuan-yang/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Zhengyuan Yang](https://md.research.elamur.ai/free/en/authors/zhengyuan-yang/) / cited by # Who cites Zhengyuan Yang 837 citations of their works from 785 papers of our library (of the 140 884 whose bibliographies we read) · 81 with a page here, the most cited first · page 1 of 4 · [← Zhengyuan Yang](https://md.research.elamur.ai/free/en/authors/zhengyuan-yang/) **1** [2](https://md.research.elamur.ai/free/en/authors/zhengyuan-yang/cited-by/page/2/) [3](https://md.research.elamur.ai/free/en/authors/zhengyuan-yang/cited-by/page/3/) [4](https://md.research.elamur.ai/free/en/authors/zhengyuan-yang/cited-by/page/4/) [next →](https://md.research.elamur.ai/free/en/authors/zhengyuan-yang/cited-by/page/2/) - [A Survey on Evaluation of Large Language Models](https://md.research.elamur.ai/free/en/papers/chang-2023-survey-evaluation-large-language-models/) — Yupeng Chang, Xu Wang, Jindong Wang, et al. · 2023 · 3 640 citations - [A Survey of Large Language Models](https://md.research.elamur.ai/free/en/papers/zhao-2023-survey-large-language-models/) — Wayne Xin Zhao, Kun Zhou, Junyi Li, et al. · 2023 · 2 847 citations - [Improved Baselines with Visual Instruction Tuning](https://md.research.elamur.ai/free/en/papers/liu-2023-improved-baselines-visual-instruction-tuning/) — Haotian Liu, Chunyuan Li, Yuheng Li, et al. · 2023 · 2 557 citations - [Visual Instruction Tuning](https://md.research.elamur.ai/free/en/papers/liu-2023-visual-instruction-tuning/) — Haotian Liu, Chunyuan Li, Qingyang Wu, et al. · 2023 · 2 487 citations - [A Comprehensive Overview of Large Language Models](https://md.research.elamur.ai/free/en/papers/naveed-2023-comprehensive-overview-large-language-models/) — Humza Naveed, Asad Ullah Khan, Shi Qiu, et al. · 2023 · 1 286 citations - [MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models](https://md.research.elamur.ai/free/en/papers/zhu-2023-minigpt-4-enhancing-vision-language/) — Deyao Zhu, Jun Chen, Xiaoqian Shen, et al. · 2023 · 1 105 citations - [InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning](https://md.research.elamur.ai/free/en/papers/dai-2023-instructblip-towards-general-purpose-vision/) — Wenliang Dai, Junnan Li, Dongxu Li, et al. · 2023 · 1 051 citations - [Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2023-siren-s-song-ai-ocean/) — Yue Zhang, Yafu Li, Leyang Cui, et al. · 2023 · 962 citations - [Qwen2.5-VL Technical Report](https://md.research.elamur.ai/free/en/papers/bai-2025-qwen2-5-vl-technical/) — Shuai Bai, Keqin Chen, Xuejing Liu, et al. · 2025 · 948 citations - [MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI](https://md.research.elamur.ai/free/en/papers/yue-2023-mmmu-massive-multi-discipline-multimodal/) — Xiang Yue, Yuansheng Ni, Kai Zhang, et al. · 2023 · 948 citations - [Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution](https://md.research.elamur.ai/free/en/papers/wang-2024-qwen2-vl-enhancing-vision/) — Peng Wang, Shuai Bai, Sinan Tan, et al. · 2024 · 819 citations - [Video-LLaVA: Learning United Visual Representation by Alignment Before Projection](https://md.research.elamur.ai/free/en/papers/lin-2023-video-llava-learning-united-visual/) — Bin Lin, Yang Ye, Bin Zhu, et al. · 2023 · 614 citations - [How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites](https://md.research.elamur.ai/free/en/papers/chen-2024-far-gpt-4v-closing/) — Zhe Chen, Weiyun Wang, Hao Tian, et al. · 2024 · 529 citations - [MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/fu-2023-mme-comprehensive-evaluation-benchmark-multimodal/) — Chaoyou Fu, Peixian Chen, Yunhang Shen, et al. · 2023 · 529 citations - [Instruction Tuning for Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/zhang-2023-instruction-tuning-large-language-models/) — Shengyu Zhang, Linfeng Dong, Xiaoya Li, et al. · 2023 · 515 citations - [REPLUG: Retrieval-Augmented Black-Box Language Models](https://md.research.elamur.ai/free/en/papers/shi-2023-replug-retrieval-augmented-black-box/) — Weijia Shi, Sewon Min, Michihiro Yasunaga, et al. · 2023 · 482 citations - [MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts](https://md.research.elamur.ai/free/en/papers/lu-2023-mathvista-evaluating-mathematical-reasoning-foundation/) — Pan Lu, Hritik Bansal, Tony Xia, et al. · 2023 · 441 citations - [MVBench: A Comprehensive Multi-modal Video Understanding Benchmark](https://md.research.elamur.ai/free/en/papers/li-2023-mvbench-comprehensive-multi-modal-video/) — Kunchang Li, Yali Wang, Yinan He, et al. · 2023 · 441 citations - [ShareGPT4V: Improving Large Multi-Modal Models with Better Captions](https://md.research.elamur.ai/free/en/papers/chen-2023-sharegpt4v-improving-large-multi-modal/) — Lin Chen, Jinsong Li, Xiaoyi Dong, et al. · 2023 · 441 citations - [LLaVA-OneVision: Easy Visual Task Transfer](https://md.research.elamur.ai/free/en/papers/li-2024-llava-onevision-easy-visual-task/) — Bo Li, Yuanhan Zhang, Dong Guo, et al. · 2024 · 440 citations - [Large Legal Fictions: Profiling Legal Hallucinations in Large Language Models](https://md.research.elamur.ai/free/en/papers/dahl-2024-large-legal-fictions-profiling-legal/) — Matthew Dahl, Varun Magesh, Mirac Suzgun, et al. · 2024 · 431 citations - [mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality](https://md.research.elamur.ai/free/en/papers/ye-2023-mplug-owl-modularization-empowers-large/) — Qinghao Ye, Haiyang Xu, Guohai Xu, et al. · 2023 · 410 citations - [InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks](https://md.research.elamur.ai/free/en/papers/chen-2023-internvl-scaling-up-vision/) — Zhe Chen, Jiannan Wu, Wenhai Wang, et al. · 2023 · 409 citations - [Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis](https://md.research.elamur.ai/free/en/papers/fu-2024-video-mme-first-ever-comprehensive/) — Chaoyou Fu, Yuhan Dai, Yongdong Luo, et al. · 2024 · 403 citations - [Tool Learning with Foundation Models](https://md.research.elamur.ai/free/en/papers/qin-2023-tool-learning-foundation-models/) — Yujia Qin, Shengding Hu, Yankai Lin, et al. · 2023 · 376 citations **1** [2](https://md.research.elamur.ai/free/en/authors/zhengyuan-yang/cited-by/page/2/) [3](https://md.research.elamur.ai/free/en/authors/zhengyuan-yang/cited-by/page/3/) [4](https://md.research.elamur.ai/free/en/authors/zhengyuan-yang/cited-by/page/4/) [next →](https://md.research.elamur.ai/free/en/authors/zhengyuan-yang/cited-by/page/2/)