Awesome-LLM-for-RecSys and Awesome-LLM-Ensemble
About Awesome-LLM-for-RecSys
CHIANGEL/Awesome-LLM-for-RecSys
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
This resource provides a comprehensive collection of research papers and materials exploring how large language models (LLMs) can enhance recommender systems. It organizes recent advancements in areas like feature engineering, user/item representation, and explanation generation, offering a structured overview of this rapidly evolving field. Researchers and practitioners in recommender systems, particularly those interested in leveraging cutting-edge AI for improved personalization, will find this collection valuable.
About Awesome-LLM-Ensemble
junchenzhi/Awesome-LLM-Ensemble
A curated list of Awesome-LLM-Ensemble papers for the survey "Harnessing Multiple Large Language Models: A Survey on LLM Ensemble"
This is a curated list of research papers and implementations focusing on how to combine multiple large language models (LLMs) to improve their performance on various tasks. It categorizes different strategies for leveraging multiple LLMs together, whether before, during, or after they process information. Researchers, AI engineers, and machine learning practitioners who work with LLMs and want to explore advanced techniques for enhancing their capabilities would find this resource useful.
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