Meta CLIP 2: A Worldwide Scaling Recipe

NeurIPSSpotlight2025

Authors: Yung-Sung Chuang, Yang Li, Dong Wang, Ching-Feng Yeh, Kehan Lyu, Ramya Raghavendra, James R. Glass, LIFEI HUANG, Jason E Weston, Luke Zettlemoyer, Xinlei Chen, Zhuang Liu, Saining Xie, Wen-tau Yih, Shang-Wen Li, Hu Xu
Venue: NeurIPS 2025
Track: Spotlight

TL;DR

Contrastive Language-Image Pretraining (CLIP) is a popular foundation model, supporting from zero-shot classification, retrieval to encoders for multimodal large language models (MLLMs)

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Topics

large language model language model contrastive pretraining multimodal retrieval zero-shot llm

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