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Shanghai AI Laboratory

Shanghai AI Laboratory is an AI-native company in —. Shown below: 3 models.

AI-native Not profitable Featured: —

$250M

Listed valuation

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Listed models
3
Listed papers
5

Figures and classifications reflect imported catalog records, not live company reporting.

Models

3

In the catalogs

12

Repositories

  • Awesome-LLM4Tool A curated list of the papers, repositories, tutorials, and anythings related to the large language models for…
  • DCNv4 [CVPR 2024] Deformable Convolution v4
  • EfficientQAT [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models
  • Future-L1 Imagine Before You Predict: Interleaved Latent Visual Reasoning for Video Event Prediction
  • Instruct2Act Instruct2Act: Mapping Multi-modality Instructions to Robotic Actions with Large Language Model
  • OmniQuant [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.
  • SAM-Med2D Official implementation of SAM-Med2D
  • UniFormerV2 [ICCV2023] UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormer
  • VideoChat-R1 [NIPS2025] VideoChat-R1 & R1.5: Enhancing Spatio-Temporal Perception and Reasoning via Reinforcement Fine-Tun…
  • VideoMAEv2 [CVPR 2023] VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking
  • VLMEvalKit_InternVL2_5 Open-source evaluation toolkit of large vision-language models (LVLMs), support 160+ VLMs, 50+ benchmarks
  • ZeroGUI ZeroGUI: Automating Online GUI Learning at Zero Human Cost

Source rankings

Imported positions; not an independent quality score.

  • Overall Rank#1164
  • AI Native Rank#544