The Diffusion Paradigm in Natural Language Processing (NLP) Generation: Mechanisms, Control Architectures, and the Path to Non-Autoregressive Reasoning

1. Introduction: The Autoregressive Hegemony and the Diffusion Alternative 1.1 The Deterministic Bottleneck of Sequential Generation For the past decade, the field of Natural Language Processing (NLP) has been dominated Read More …

Retrieval-Augmented Generation (RAG): A Comprehensive Technical Survey on Bridging Language Models with Dynamic Knowledge

Introduction to Retrieval-Augmented Generation Defining the RAG Paradigm: Synergizing Parametric and Non-Parametric Knowledge Retrieval-Augmented Generation (RAG) is an artificial intelligence framework designed to optimize the output of a Large Language Read More …