Large Language Models (LLMs)

Researchers introduced R²Adapter, a lightweight plug-in Routing and Rewriting Adapter that dynamically allocates queries between vanilla and graph-based Retrieval-Augmented Generation (RAG), reducing …

Researchers introduced CUDA-Harness, a framework for generating and optimizing CUDA kernels directly from natural language (Text2CUDA), addressing the expertise barrier in high-performance kernel deve…

Google AI Overviews SEO represents the evolution of organic search, where the focus shifts from ranking for blue links to providing synthesized, authoritative answers for generative engines. Success i…

Researchers introduced MemoryForge, a framework that synthesizes lifelong autobiographical memory from brief target personas to make frozen Large Language Models (LLMs) exhibit more human-like behavio…

Researchers introduced EvoPINN, an agentic framework that uses a large language model (LLM) to automatically discover executable algorithms for physics-informed neural networks (PINNs), reducing relat…