Ilya Pereverzin

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New activity in Qwen/Qwen3.5-397B-A17B about 7 hours ago

Dark theme readability of benchmarks is pooor

➕ 9

1

#4 opened about 8 hours ago by

RASMUS

upvoted a paper about 7 hours ago

OPUS: Towards Efficient and Principled Data Selection in Large Language Model Pre-training in Every Iteration

Paper • 2602.05400 • Published 11 days ago • 314

New activity in Qwen/Qwen3.5-397B-A17B about 8 hours ago

Fix README accessibility: enable adaptive light/dark theme for tables

#8 opened about 8 hours ago by

NodeLinker

liked a model about 8 hours ago

Qwen/Qwen3.5-397B-A17B

Image-Text-to-Text • 403B • Updated about 7 hours ago • 375

upvoted a collection about 8 hours ago

Qwen3.5

Collection

1 item • Updated about 8 hours ago • 98

liked 2 datasets about 10 hours ago

yuiseki/onomatopoeia-ja-flat

Viewer • Updated Mar 19, 2024 • 10.3k • 2 • 1

yuiseki/onomatopoeia-ja

Viewer • Updated Mar 18, 2024 • 5.06k • 2 • 9

upvoted 2 papers 1 day ago

DeepGen 1.0: A Lightweight Unified Multimodal Model for Advancing Image Generation and Editing

Paper • 2602.12205 • Published 4 days ago • 75

Zooming without Zooming: Region-to-Image Distillation for Fine-Grained Multimodal Perception

Paper • 2602.11858 • Published 4 days ago • 51

upvoted a collection 1 day ago

Zooming-without-Zooming

Collection

6 items • Updated 3 days ago • 4

liked a model 1 day ago

inclusionAI/ZwZ-8B

Image-Text-to-Text • 9B • Updated 2 days ago • 160 • 24

liked a model 4 days ago

IDEA-Research/grounding-dino-base

Zero-Shot Object Detection • Updated May 12, 2024 • 3.15M • 159

liked 5 models 5 days ago

Xiang12yu/dinov3-vitb16

Updated Sep 14, 2025 • 1

Fanqi-Lin-IR/dinov3_vitb16

Updated Aug 16, 2025 • 1

camenduru/dinov3-vitl16-pretrain-lvd1689m

Image Feature Extraction • 0.3B • Updated Dec 17, 2025 • 4.54k • 1

IBBI-bio/dinov3-vitl16-pretrain-lvd1689m

Image Feature Extraction • 21.6M • Updated Aug 29, 2025 • 584 • 3

inclusionAI/Ming-flash-omni-2.0

Any-to-Any • Updated 4 days ago • 6.49k • 219

upvoted a collection 5 days ago

Ming-V2

Collection

Ming is the multi-modal series of any-to-any models developed by Ant Ling team. • 14 items • Updated 2 days ago • 33

upvoted 2 papers 5 days ago

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

Paper • 2510.24821 • Published Oct 28, 2025 • 40

Ming-Omni: A Unified Multimodal Model for Perception and Generation

Paper • 2506.09344 • Published Jun 11, 2025 • 30