Papers
Published paper pages that break one report or publication into its main claims, linked entities, and supporting sources.
- Attention Is All You Need
The 2017 paper that introduced the transformer, using self-attention as the main way tokens mix information in encoder-decoder sequence models.
- BERT Paper
The paper that introduced deep bidirectional transformer encoders trained with masked language modeling and fine-tuned for language understanding tasks.
- DeepSeek-V4
A technical report that bundles DeepSeek-V4 architecture, long-context attention, post-training methods, and serving systems into one connected release.
- GPT-2 Report
A technical report that introduced GPT-2 as a large decoder-only language model trained with broad next-token pretraining and byte-level BPE tokenization.
- Latent Diffusion Models
The research paper behind Stable Diffusion-style image generation: compress images into a latent space, denoise there instead of in pixel space, then decode the result.
- Learning Transferable Visual Models From Natural Language Supervision
The CLIP paper introduced contrastive language-image pretraining with separate image and text encoders that map paired captions and images into one shared embedding space.