Comparative Analysis of Methodologies and Approaches in Recommender Systems Utilizing Large Language Models

Information Science, Computer Science, Artificial Intelligence,
Recommender Systems   Large Language Models   Natural Language Processing   User Modeling   Collaborative Filtering   Parameter-Efficient Fine-Tuning  

Academic Background With the explosive growth of internet information, recommender systems (RSs) have become indispensable in modern digital life. Whether it’s movie recommendations on Netflix or personalized news feeds on social media, recommender systems are reshaping users’ online experiences. However, traditional recommender systems face numero...

Three-Way Decision Approach Based on Utility and Dynamic Localization Transformational Procedures within a Circular Q-Rung Orthopair Fuzzy Set for Ranking and Grading Large Language Models

Mathematics, Information Science, Computer Science, Artificial Intelligence,
Three-Way Decision   Circular Q-Rung Orthopair Fuzzy Sets   Large Language Models   Utility Theory   Dynamic Localization Transformation   Multi-Criteria Decision Making   Uncertainty Handling  

Academic Background With the rapid development of artificial intelligence (AI) and natural language processing (NLP), large language models (LLMs) have made significant progress in both academia and industry. However, despite the outstanding performance of LLMs in multiple NLP tasks, no single model has been able to simultaneously meet all task req...

A Holistic Comparative Study of Large Language Models as Emotional Support Dialogue Systems

Information Science, Computer Science, Artificial Intelligence,
Emotional Support Conversation   Large Language Models   Dialogue Systems   Comparative Study   Emotional Support Strategies  

Academic Background In recent years, with the rapid development of large language models (LLMs), their applications in the field of natural language processing (NLP) have become increasingly widespread. LLMs such as ChatGPT and LLaMA have demonstrated powerful capabilities in language generation and comprehension, even excelling in emotional expres...

Evaluation of Large Language Models for Discovery of Gene Set Function

Information Science, Artificial Intelligence, Medicine, Life Sciences, Biochemistry, Genetics,
Large Language Models   Gene Set Function   Functional Genomics   Gene Ontology   Bioinformatics   Artificial Intelligence   Gene Expression  

Exploration of Gene Set Function Discovery Using Large Language Models: GPT-4 Excels Academic Background In functional genomics, gene set enrichment analysis is a critical methodology for understanding gene functions and their associated biological processes. However, existing enrichment analyses rely heavily on curated gene function databases, suc...