Research map / Vision-language and multimodal / CLIP and zero-shot
LAION-5B: An open large-scale dataset for training next generation image-text models
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Train ViT-B/32 on LAION-2B-en instead of LAION-400M | OpenCLIP · ImageNet-1k | top-1 accuracy: 62.9 -> 65.7 | Helped |
| Train ViT-B/32 on LAION-2B-en instead of LAION-400M | OpenCLIP · ImageNet-v2 | top-1 accuracy: 55.1 -> 57.4 | Helped |
| Train ViT-B/32 on LAION-2B-en instead of LAION-400M | OpenCLIP · ImageNet-R | top-1 accuracy: 73.4 -> 75.9 | Helped |
| Train ViT-B/32 on LAION-2B-en instead of LAION-400M | OpenCLIP · ImageNet-S | top-1 accuracy: 49.4 -> 52.9 | Helped |
| Train ViT-B/32 on LAION-2B-en instead of LAION-400M | OpenCLIP · ObjectNet | top-1 accuracy: 43.9 -> 48.7 | Helped |
| Train ViT-B/32 on LAION-2B-en instead of LAION-400M | OpenCLIP · VTAB+ | average top-1 accuracy: 45.6 -> 47.9 | Helped |
| Use LAION-2B-en rather than LAION-400M at the same training compute | ViT-L/14 · ImageNet-1k | zero-shot top-1 accuracy: 73.9% -> 75.4% | Helped |
Closest papers by meaning
- Text-Printed Image: Bridging the Image-Text Modality Gap for Text-centric Training of Large Vision-Language Models (CVPR 2026 · similarity 0.89)
- TRINS: Towards Multimodal Language Models that Can Read (CVPR 2024 · similarity 0.89)
- Unified Generative and Discriminative Training for Multi-modal Large Language Models (NeurIPS 2024 · similarity 0.89)
- A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions (CVPR 2024 · similarity 0.89)
- Benchmarking Large Vision-Language Models on Fine-Grained Image Tasks: A Comprehensive Evaluation (ICLR 2026 · similarity 0.89)
- MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer (ICLR 2026 · similarity 0.88)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.