Chunyuan Li

Chunyuan Li

I work on scalable language-and-vision model training, building general-purpose agentic AI systems that connect perception, reasoning, and generation for high-impact real-world tasks. I am on the Gemini core team at Google DeepMind.


Recent Work

2026 Created a leading agentic image generation and editing system for Nano Banana 🍌.
2025 Built Grok's first video-understanding capabilities, including realtime video in voice mode .
2024 Led the multimodal post-training team for the first version of Seed-VLM, powering Doubao's image and video understanding capabilities .
2023 and earlier Advanced frontier open-source vision-language models:
[Detailed archive]
Oct/Nov, 2023 LLaVA is upgraded:
  • LLaVA-1.5 achieves SoTA on 11 benchmarks among open-source VLMs. It utilizes all public data, completes training in ~1 day on a single 8-A100 node, and surpasses prior SoTA that use billion-scale data. [Project] [Paper] [Github] [Demo] [Model Zoo]
  • LLaVA-Interactive: Experience the future of human-AI multimodal interaction with an all-in-one demo for image chat, segmentation, generation and editing. [Project] [Paper] [Github] [Demo]
  • LLaVA-Plus expands the capabilities of LLaVA by learning to use external tools for creating multimodal agents. [Project] [Paper] [Github] [Demo]
September 20, 2023 A 110-page paper is released to share our perspective on multimodal models: ``Multimodal Foundation Models: From Specialists to General-Purpose Assistants''. This is based our CVPR 2023 Tutorial. [Note on Large Multimodal Models] [Slides] [YouTube] [Bilibili]
June 1, 2023 LLaVA-Med: Training a large language-and-vision assistant for biomedicine in one day. NeurIPS 2023 Datasets and Benchmarks Track (Spotlight)
April 17, 2023 Visual Instruction Tuning with GPT-4! We release LLaVA, a Large Language-and-Vision Assistant towards multimodal GPT-4 level capabilities. NeurIPS 2023 (Oral Presentation) [Project] [Paper] [Github] [Demo] [Data] [Model] [Scaling Note]
April 7, 2023 Instruction Tuning with GPT-4! a "first attempt" to use GPT-4 data for LLM self-instruct tuning. [Paper] [Github] [My Learnings]
March, 2023 CVPR 2023:
  • REACT improves foundation models on various vision tasks by customizing them with retrieval-augmented multimodal knowledge [Code] (Highlights, 2.5%)
  • GLIGEN enables a new capability for frozen text-to-image generation models: open-set grounding. [Demo] [Code] [YouTube]
  • X-Decoder: a generalist decoder for pixel, image and language [Demo] [Code]
Feb, 2023

CVPR2023 Workshop and Challenge on the 2nd Computer Vision in the Wild (CVinW). For those who are new to this topic, please check out the CVinW Reading List . [Workshop] [SGinW Challenge] [RF100 Challenge]

Oct 23, 2022

ECCV 2022 Workshop and Challenge on the 1st Computer Vision in the Wild (CVinW). Please check out the videos of this event at [YouTube] [BiliBili]. [Workshop] [ICinW Challenge] [ODinW Challenge]

Oct 17, 2022 "Vision-Language Pre-Training: Basics, Recent Advances, and Future Trends", A 100-page survey paper in Foundations and Trends® in Computer Graphics and Vision
Sep 16, 2022 NeurIPS 2022: K-LITE (Oral, 1%), ELEVATER and FocalNet. A team effort to push CVinW. ✨; [CVPR Tutorial] 😄
  • K-LITE demonstrates the effectiveness of external knowledge to improve language-image models in zero-/few-shot task transfer
  • ELEVATER is a platform with 20 image classification and 35 object detection public datasets for evaluating language-image models in task-level visual transfer. [Benchmark Website]
  • FocalNet [paper, code, demo, blog] - SoTA on COCO object detection with a simple attention-free architecture
Mar 25, 2022 Upcoming events as a co-organizer:
Mar 1, 2022 CVPR 2022:
June 17, 2021 EsViT chieves SoTA 81.3% top-1 on the ImageNet linear probe evaluation, outperforming prior arts with an order magnitude of higher throughput. [GitHub]