[HTML][HTML] A survey on large language model based autonomous agents
Autonomous agents have long been a research focus in academic and industry
communities. Previous research often focuses on training agents with limited knowledge …
communities. Previous research often focuses on training agents with limited knowledge …
Prompting large language models for recommender systems: A comprehensive framework and empirical analysis
Recently, large language models such as ChatGPT have showcased remarkable abilities in
solving general tasks, demonstrating the potential for applications in recommender systems …
solving general tasks, demonstrating the potential for applications in recommender systems …
How can recommender systems benefit from large language models: A survey
With the rapid development of online services, recommender systems (RS) have become
increasingly indispensable for mitigating information overload. Despite remarkable …
increasingly indispensable for mitigating information overload. Despite remarkable …
Large language models and video games: A preliminary scoping review
P Sweetser - Proceedings of the 6th ACM Conference on …, 2024 - dl.acm.org
Large language models (LLMs) hold interesting potential for the design, development, and
research of video games. Building on the decades of prior research on generative AI in …
research of video games. Building on the decades of prior research on generative AI in …
Leveraging ChatGPT for Automated Human-centered Explanations in Recommender Systems
The adoption of recommender systems (RSs) in various domains has become increasingly
popular, but concerns have been raised about their lack of transparency and interpretability …
popular, but concerns have been raised about their lack of transparency and interpretability …
Multi-Agent Collaboration Framework for Recommender Systems
LLM-based agents have gained considerable attention for their decision-making skills and
ability to handle complex tasks. Recognizing the current gap in leveraging agent capabilities …
ability to handle complex tasks. Recognizing the current gap in leveraging agent capabilities …
MACRec: A Multi-Agent Collaboration Framework for Recommendation
LLM-based agents have gained considerable attention for their decision-making skills and
ability to handle complex tasks. Recognizing the current gap in leveraging agent capabilities …
ability to handle complex tasks. Recognizing the current gap in leveraging agent capabilities …
Privacy in LLM-based Recommendation: Recent Advances and Future Directions
Nowadays, large language models (LLMs) have been integrated with conventional
recommendation models to improve recommendation performance. However, while most of …
recommendation models to improve recommendation performance. However, while most of …
LLANIME: Large Language Models for Anime Recommendations
A Agarwal, S Sharma - 2023 16th International Conference on …, 2023 - ieeexplore.ieee.org
Large Language Models (LLMs) have advanced significantly in Natural Language
Processing (NLP) over the past few years. Ongoing research continues exploring their …
Processing (NLP) over the past few years. Ongoing research continues exploring their …
A Respiratory Disease Management Framework by Combining Large Language Models and Convolutional Neural Networks for Effective Diagnosis
M Rifat Ahmmad Rashid, M Hasan… - … of Computing and …, 2024 - journals.uob.edu.bh
Artificial Intelligence in medical diagnostics has the potential to significantly increase patient
care and healthcare outcomes. This synergy between advanced artificial intelligence …
care and healthcare outcomes. This synergy between advanced artificial intelligence …