20 essential AI papers
A broad path from AlexNet and Transformers to RAG, diffusion models, multimodal AI, and agents.
Open topic guidePaperBridge AI paper topics
Build a dependable map of AI research, one topic at a time
Instead of picking papers at random, choose a research path and follow the key work that changed its architecture, evidence, and practical possibilities.
Transformer paper guide
Start with self-attention and positional encoding, then connect BERT, GPT, Vision Transformers, LoRA, and multimodal models.
Open topic guideRAG paper guide
Trace how retrieval-augmented generation joins external knowledge, language models, and agents—and where it still fails.
Open topic guideDiffusion model paper guide
Move from VAEs and GANs to DDPM and latent diffusion to understand stable, high-quality, controllable generation.
Open topic guideHow these topic guides are selected
Each path prioritizes primary papers that changed an architecture, training method, or product capability. PaperBridge separates reported findings from interpretation and uncertainty, with a direct link to every original source.