Explore machine learning papers and reviews related to Natural Language Processing. Find insights, analysis, and implementation details.
Jacob Devlin, Ming-Wei Chang, +2
How BERT pre-trains a deep bidirectional Transformer with masked language modeling and next-sentence prediction, then fine-tunes the same model to state-of-the-art results across a wide range of NLP tasks.
Junnan Li, Dongxu Li, +2
BLIP-2 leverages frozen image encoders and LLMs for efficient vision-language pre-training, achieving state-of-the-art multimodal performance.
Alec Radford, Jong Wook Kim, +10
CLIP explained: contrastive learning on 400M image-text pairs enables zero-shot image classification and powerful vision-language understanding.