[2306.02781] An Automated Survey of Generative Artificial Intelligence: Large Language Models, Architectures, Protocols, and Applications

Computer Science > Machine Learning arXiv:2306.02781 (cs) [Submitted on 5 Jun 2023 (v1), last revised 8 Apr 2026 (this version, v3)] Title:An Automated Survey of Generative Artificial Intelligence: Large Language Models, Architectures, Protocols, and Applications Authors:Eduardo C. Garrido-Merchán, Álvaro López López View a PDF of the paper titled An Automated Survey of Generative Artificial Intelligence: Large Language Models, Architectures, Protocols, and Applications, by Eduardo C. Garrido-Merch\'an and 1 other authors View PDF Abstract:Generative artificial intelligence, and large language models in particular, have emerged as one of the most transformative paradigms in modern computer science. This automated survey provides an accessible treatment of the field as of early 2026, with a strong focus on the leading model families, deployment protocols, and real-world applications. The core of the survey is devoted to a detailed comparative analysis of the frontier large language models, with particular emphasis on open-weight systems: DeepSeek-V3, DeepSeek-R1, DeepSeek-V3.2, and the forthcoming DeepSeek V4; the Qwen 3 and Qwen 3.5 series; GLM-5; Kimi K2.5; MiniMax M2.5; LLaMA 4; Mistral Large 3; Gemma 3; and Phi-4, alongside proprietary systems including GPT-5.4, Gemini 3.1 Pro, Grok 4.20, and Claude Opus 4.6. For each model, we describe the architectural innovations, training regimes, and empirical performance on current benchmarks and the Chatbot Arena leaderboard. The...