This repository maintains an organized collection of important AI papers spanning computer vision, natural language processing, audio processing, multimodal learning, and reinforcement learning. Papers are categorized by year and ranked by citation count or impact such as historical papers (10k+ citations) and important papers (50+ citations). It serves as a reference guide for researchers and practitioners tracking the evolution of AI research.