---
title: "Chunyuan Li — papers of 2023 — 8 papers, the most cited first"
description: "Chunyuan Li — papers of 2023: 8 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Chunyuan Li — papers of 2023 — 8 papers, the most cited first

8 papers · [all years of Chunyuan Li](https://md.research.elamur.ai/free/en/authors/chunyuan-li/#years)

- [Visual Instruction Tuning arXiv:2304.08485](https://md.research.elamur.ai/free/en/papers/liu-2023-visual-instruction-tuning/) — Haotian Liu, Chunyuan Li, Qingyang Wu, et al. · 2023 · 2,617 citations

**[Improved Baselines with Visual Instruction Tuning](https://md.research.elamur.ai/free/en/papers/liu-2023-improved-baselines-visual-instruction-tuning/) [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/)**Haotian Liu, Chunyuan Li, Yuheng Li, et al.*2023 · 2,614 citations*

**[LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day](https://md.research.elamur.ai/free/en/papers/li-2023-llava-med-training-large-language/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Chunyuan Li, Cliff Wong, Sheng Zhang, et al.*2023 · 692 citations*

- [Instruction Tuning with GPT-4 arXiv:2304.03277](https://md.research.elamur.ai/free/en/papers/peng-2023-instruction-tuning-gpt-4/) — Baolin Peng, Chunyuan Li, Pengcheng He, et al. · 2023 · 662 citations
- [Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection arXiv:2303.05499](https://md.research.elamur.ai/free/en/papers/liu-2023-grounding-dino-marrying-dino-grounded/) — Shilong Liu, Zhaoyang Zeng, Tianhe Ren, et al. · 2023 · 472 citations
- [MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts arXiv:2310.02255](https://md.research.elamur.ai/free/en/papers/lu-2023-mathvista-evaluating-mathematical-reasoning-foundation/) — Pan Lu, Hritik Bansal, Tony Xia, et al. · 2023 · 468 citations

**[OCRBench: On the Hidden Mystery of OCR in Large Multimodal Models](https://md.research.elamur.ai/free/en/papers/liu-2023-ocrbench-hidden-mystery-ocr-large/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Yuliang Liu, Zhang Li, Mingxin Huang, et al.*2023 · 306 citations*

- [Aligning Large Multimodal Models with Factually Augmented RLHF arXiv:2309.14525](https://md.research.elamur.ai/free/en/papers/sun-2023-aligning-large-multimodal-models-factually/) — Zhiqing Sun, Sheng Shen, Shengcao Cao, et al. · 2023 · 176 citations