Papers with Code

Papers with Code (PWC) remains the definitive infrastructure for the global AI research community in 2026. Owned by Meta AI, it functions as a comprehensive graph connecting scholarly publications from arXiv with their functional code implementations on GitHub. Its technical architecture revolves around a community-driven taxonomy of over 4,000 ML tasks, providing structured access to state-of-the-art (SOTA) leaderboards. By 2026, PWC has evolved beyond a simple directory into a critical verification layer for model claims, integrating directly with framework libraries like PyTorch and TensorFlow. The platform utilizes advanced NLP to index methods, datasets, and results, allowing researchers to compare model performance across standardized benchmarks. Its role in the 2026 market is pivotal for 'Open Science,' serving as the primary source of truth for benchmarking LLMs, Vision Transformers, and Diffusion models. It facilitates the democratization of AI by lowering the barrier to entry for implementation, providing pre-trained weights, and offering a unified interface for dataset discovery and evaluation metrics.