Cover Image

Demystifying CLIP Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Hu, Xie, Saining, Tan, Xiaoqing Ellen, Huang, Po-Yao, Howes, Russell, Sharma, Vasu, Li, Shang-Wen, Ghosh, Gargi, Zettlemoyer, Luke, Feichtenhofer, Christoph
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Altogether: Image Captioning via Re-aligning Alt-text
by: Xu, Hu, et al.
Published: (2024)

MoDE: CLIP Data Experts via Clustering
by: Ma, Jiawei, et al.
Published: (2024)

Text Quality-Based Pruning for Efficient Training of Language Models
by: Sharma, Vasu, et al.
Published: (2024)

Meta CLIP 2: A Worldwide Scaling Recipe
by: Chuang, Yung-Sung, et al.
Published: (2025)

Memory Layers at Scale
by: Berges, Vincent-Pierre, et al.
Published: (2024)

Demystifying Prompts in Language Models via Perplexity Estimation
by: Gonen, Hila, et al.
Published: (2022)

Improving Factuality with Explicit Working Memory
by: Chen, Mingda, et al.
Published: (2024)

Continual Learning via Sparse Memory Finetuning
by: Lin, Jessy, et al.
Published: (2025)

Compute Optimal Tokenization
by: Limisiewicz, Tomasz, et al.
Published: (2026)

Fast Byte Latent Transformer
by: Kallini, Julie, et al.
Published: (2026)

Mixture-of-Transformers: A Sparse and Scalable Architecture for Multi-Modal Foundation Models
by: Liang, Weixin, et al.
Published: (2024)

Distill CLIP (DCLIP): Enhancing Image-Text Retrieval via Cross-Modal Transformer Distillation
by: Csizmadia, Daniel, et al.
Published: (2025)

A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions
by: Urbanek, Jack, et al.
Published: (2023)

Computational Tradeoffs in Image Synthesis: Diffusion, Masked-Token, and Next-Token Prediction
by: Kilian, Maciej, et al.
Published: (2024)

Comparing Hallucination Detection Metrics for Multilingual Generation
by: Kang, Haoqiang, et al.
Published: (2024)

Flow Map Distillation Without Data
by: Tong, Shangyuan, et al.
Published: (2025)

Multimodal RewardBench: Holistic Evaluation of Reward Models for Vision Language Models
by: Yasunaga, Michihiro, et al.
Published: (2025)

MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training
by: Vasu, Pavan Kumar Anasosalu, et al.
Published: (2023)

(Mis)Fitting: A Survey of Scaling Laws
by: Li, Margaret, et al.
Published: (2025)

CLIP with Quality Captions: A Strong Pretraining for Vision Tasks
by: Vasu, Pavan Kumar Anasosalu, et al.
Published: (2024)

Reconstruction Alignment Improves Unified Multimodal Models
by: Xie, Ji, et al.
Published: (2025)

Micro Language Models Enable Instant Responses
by: Cheng, Wen, et al.
Published: (2026)

CLIP-Map: Structured Matrix Mapping for Parameter-Efficient CLIP Compression
by: Zhang, Kangjie, et al.
Published: (2026)

Understanding Trade offs When Conditioning Synthetic Data
by: Trabucco, Brandon, et al.
Published: (2025)

Multimodal RewardBench 2: Evaluating Omni Reward Models for Interleaved Text and Image
by: Hu, Yushi, et al.
Published: (2025)

MobileCLIP2: Improving Multi-Modal Reinforced Training
by: Faghri, Fartash, et al.
Published: (2025)

Traveling Across Languages: Benchmarking Cross-Lingual Consistency in Multimodal LLMs
by: Wang, Hao, et al.
Published: (2025)

Slicing and Dicing: Configuring Optimal Mixtures of Experts
by: Li, Margaret, et al.
Published: (2026)

Byte Latent Transformer: Patches Scale Better Than Tokens
by: Pagnoni, Artidoro, et al.
Published: (2024)

SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural Network
by: Lv, Changze, et al.
Published: (2023)

CLIP-GS: CLIP-Informed Gaussian Splatting for View-Consistent 3D Indoor Semantic Understanding
by: Liao, Guibiao, et al.
Published: (2024)

Latent Speech-Text Transformer
by: Lu, Yen-Ju, et al.
Published: (2025)

Data or Language Supervision: What Makes CLIP Better than DINO?
by: Liu, Yiming, et al.
Published: (2025)

DataProphet: Demystifying Supervision Data Generalization in Multimodal LLMs
by: Qi, Xuan, et al.
Published: (2026)

Anchored Decoding: Provably Reducing Copyright Risk for Any Language Model
by: He, Jacqueline, et al.
Published: (2026)

DINOv2: Learning Robust Visual Features without Supervision
by: Oquab, Maxime, et al.
Published: (2023)

CLIP-IT: CLIP-based Pairing for Histology Images Classification
by: Karimian, Banafsheh, et al.
Published: (2025)

Demystifying optimized prompts in language models
by: Melamed, Rimon, et al.
Published: (2025)

Detecting Pretraining Data from Large Language Models
by: Shi, Weijia, et al.
Published: (2023)

Demystifying Synthetic Data in LLM Pre-training: A Systematic Study of Scaling Laws, Benefits, and Pitfalls
by: Kang, Feiyang, et al.
Published: (2025)