Chengxiang Fan

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liked 2 models about 18 hours ago

inclusionAI/Ling-2.6-flash

107B • Updated 3 days ago • 805 • 124

inclusionAI/Ling-2.6-1T

Text Generation • 1T • Updated 1 day ago • 315 • • 73

liked 2 models 3 months ago

inclusionAI/Ring-2.5-1T

Text Generation • 1T • Updated 18 days ago • 30.5k • 244

inclusionAI/Ming-flash-omni-2.0

Any-to-Any • Updated Feb 12 • 7.13k • 262

upvoted a paper 6 months ago

Ming-Flash-Omni: A Sparse, Unified Architecture for Multimodal Perception and Generation

Paper • 2510.24821 • Published Oct 28, 2025 • 42

liked 2 models 6 months ago

inclusionAI/Ming-flash-omni-Preview

Any-to-Any • 104B • Updated Feb 13 • 534 • 72

inclusionAI/LLaDA2.0-mini-preview

Text Generation • 16B • Updated Dec 19, 2025 • 355 • 90

liked a model 7 months ago

inclusionAI/Ring-1T

Text Generation • Updated Oct 28, 2025 • 133 • • 231

upvoted a paper 7 months ago

Ming-UniVision: Joint Image Understanding and Generation with a Unified Continuous Tokenizer

Paper • 2510.06590 • Published Oct 8, 2025 • 78

liked 5 models 7 months ago

inclusionAI/MingTok-Audio

1B • Updated Oct 4, 2025 • 1.66k • 28

inclusionAI/Ming-UniAudio-16B-A3B-Edit

18B • Updated Oct 2, 2025 • 101 • 30

inclusionAI/Ming-UniAudio-16B-A3B

Any-to-Any • 18B • Updated Nov 24, 2025 • 69 • 79

inclusionAI/Ming-UniVision-16B-A3B

Any-to-Any • 19B • Updated Oct 9, 2025 • 147 • 63

inclusionAI/MingTok-Vision

Image Feature Extraction • 0.7B • Updated Oct 10, 2025 • 81 • 32

upvoted a collection 7 months ago

Ming 2.0

Collection

Ming is the multi-modal series of any-to-any models developed by Ant Ling team. • 14 items • Updated 10 days ago • 37

liked 4 models 7 months ago

inclusionAI/Ling-1T

Text Generation • 1000B • Updated 18 days ago • 958 • • 539

inclusionAI/Ring-1T-preview

Text Generation • Updated Oct 22, 2025 • 27 • 268

inclusionAI/Ring-flash-2.0

Text Generation • 103B • Updated Oct 23, 2025 • 111 • 102

inclusionAI/Ling-flash-2.0

Text Generation • 103B • Updated Sep 26, 2025 • 304 • 215

upvoted a paper about 1 year ago

SegAgent: Exploring Pixel Understanding Capabilities in MLLMs by Imitating Human Annotator Trajectories

Paper • 2503.08625 • Published Mar 11, 2025 • 27