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Papers Explained 350: GPT 4.5OpenAI GPT-4.5 is the largest and most knowledgeable model yet. Building on GPT-4o, GPT-4.5 scales pre-training further and is designed to…11h ago11h ago
Papers Explained 349: ReSearchReSearch is a novel framework that trains LLMs to Reason with Search via reinforcement learning without using any supervised data on…1d ago1d ago
Papers Explained 348: ReaderLM-v2A 1.5B language model specialized for efficient web content extraction, transforming HTML into clean Markdown or JSON formats, It utilizes…2d ago2d ago
Papers Explained 347: Command ACommand A is an agent-optimized and multilingual-capable model, with support for 23 languages of global business: English, French, Spanish…3d ago3d ago
Papers Explained 346: SmolVLMSmolVLM is a family of small, efficient multimodal models designed for resource-constrained devices, achieving high performance despite…4d ago4d ago
Papers Explained 345: ConvNets Match Vision Transformers at ScaleConvolutional Neural Networks (ConvNets) initially led the way for deep learning success. Despite dominating computer vision benchmarks for…Apr 11Apr 11
Papers Explained 344: What do Vision Transformers LearnThis study addresses the obstacles to performing visualizations in ViTs and analyzes the mechanism of various ViT variants, including DeiT…Apr 10Apr 10
Papers Explained 343: LSNetThis paper draws inspiration from the dynamic heteroscale vision ability inherent in the efficient human vision system and proposes a “See…Apr 9Apr 9
