[HTML][HTML] A survey of GPT-3 family large language models including ChatGPT and GPT-4
KS Kalyan - Natural Language Processing Journal, 2024 - Elsevier
Large language models (LLMs) are a special class of pretrained language models (PLMs)
obtained by scaling model size, pretraining corpus and computation. LLMs, because of their …
obtained by scaling model size, pretraining corpus and computation. LLMs, because of their …
[HTML][HTML] A review of transformers in drug discovery and beyond
Transformer models have emerged as pivotal tools within the realm of drug discovery,
distinguished by their unique architectural features and exceptional performance in …
distinguished by their unique architectural features and exceptional performance in …
Leak, cheat, repeat: Data contamination and evaluation malpractices in closed-source llms
Natural Language Processing (NLP) research is increasingly focusing on the use of Large
Language Models (LLMs), with some of the most popular ones being either fully or partially …
Language Models (LLMs), with some of the most popular ones being either fully or partially …
Exploring the potential of using ChatGPT for rhetorical move-step analysis: The impact of prompt refinement, few-shot learning, and fine-tuning
Rhetorical move-step analysis has wielded considerable influence in the fields of English for
Academic/Specific Purposes. To explore the potential of using ChatGPT for automated move …
Academic/Specific Purposes. To explore the potential of using ChatGPT for automated move …
Exploring recommendation capabilities of gpt-4v (ision): A preliminary case study
Large Multimodal Models (LMMs) have demonstrated impressive performance across
various vision and language tasks, yet their potential applications in recommendation tasks …
various vision and language tasks, yet their potential applications in recommendation tasks …
Making llms worth every penny: Resource-limited text classification in banking
Standard Full-Data classifiers in NLP demand thousands of labeled examples, which is
impractical in data-limited domains. Few-shot methods offer an alternative, utilizing …
impractical in data-limited domains. Few-shot methods offer an alternative, utilizing …
Advancing entity recognition in biomedicine via instruction tuning of large language models
Abstract Motivation Large Language Models (LLMs) have the potential to revolutionize the
field of Natural Language Processing, excelling not only in text generation and reasoning …
field of Natural Language Processing, excelling not only in text generation and reasoning …
Forging vision foundation models for autonomous driving: Challenges, methodologies, and opportunities
The rise of large foundation models, trained on extensive datasets, is revolutionizing the
field of AI. Models such as SAM, DALL-E2, and GPT-4 showcase their adaptability by …
field of AI. Models such as SAM, DALL-E2, and GPT-4 showcase their adaptability by …
The Aha Moment! The Effects of Serendipity and Innovation on Crowdfunding Performance
Serendipity has played a significant role in the history of invention. Yet, little is known about
whether serendipitous inventions are perceived as more or less innovative and thus achieve …
whether serendipitous inventions are perceived as more or less innovative and thus achieve …
Unlocking the Potential: A Comprehensive Systematic Review of ChatGPT in Natural Language Processing Tasks.
EA Alomari - CMES-Computer Modeling in Engineering & …, 2024 - search.ebscohost.com
Abstract As Natural Language Processing (NLP) continues to advance, driven by the
emergence of sophisticated large language models such as ChatGPT, there has been a …
emergence of sophisticated large language models such as ChatGPT, there has been a …