March 22, 2024, 4:48 a.m. | Hanieh Alipour, Nick Pendar, Kohinoor Roy

cs.CL updates on arXiv.org arxiv.org

arXiv:2403.14469v1 Announce Type: new
Abstract: In recent times, the grandeur of Large Language Models (LLMs) has not only shone in the realm of natural language processing but has also cast its brilliance across a vast array of applications. This remarkable display of LLM capabilities has ignited a surge in research contributions within this domain, spanning a diverse spectrum of topics. These contributions encompass advancements in neural network architecture, context length enhancements, model alignment, training datasets, benchmarking, efficiency improvements, and more. …

abstract applications array arxiv capabilities chatgpt chatgpt alternative cs.ai cs.cl language language models language processing large language large language models llm llms natural natural language natural language processing processing research solutions survey type vast

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