How can recommender systems benefit from large language models: A survey
With the rapid development of online services and web applications, recommender systems
(RS) have become increasingly indispensable for mitigating information overload and …
(RS) have become increasingly indispensable for mitigating information overload and …
When moe meets llms: Parameter efficient fine-tuning for multi-task medical applications
The recent surge in Large Language Models (LLMs) has garnered significant attention
across numerous fields. Fine-tuning is often required to fit general LLMs for a specific …
across numerous fields. Fine-tuning is often required to fit general LLMs for a specific …
Large language models for generative recommendation: A survey and visionary discussions
Recent years have witnessed the wide adoption of large language models (LLM) in different
fields, especially natural language processing and computer vision. Such a trend can also …
fields, especially natural language processing and computer vision. Such a trend can also …
Towards next-generation llm-based recommender systems: A survey and beyond
Large language models (LLMs) have not only revolutionized the field of natural language
processing (NLP) but also have the potential to bring a paradigm shift in many other fields …
processing (NLP) but also have the potential to bring a paradigm shift in many other fields …
Recranker: Instruction tuning large language model as ranker for top-k recommendation
Large Language Models (LLMs) have demonstrated remarkable capabilities and have been
extensively deployed across various domains, including recommender systems. Prior …
extensively deployed across various domains, including recommender systems. Prior …
Llm-esr: Large language models enhancement for long-tailed sequential recommendation
Sequential recommender systems (SRS) aim to predict users' subsequent choices based on
their historical interactions and have found applications in diverse fields such as e …
their historical interactions and have found applications in diverse fields such as e …
Perfedrec++: Enhancing personalized federated recommendation with self-supervised pre-training
Federated recommendation systems employ federated learning techniques to safeguard
user privacy by transmitting model parameters instead of raw user data between user …
user privacy by transmitting model parameters instead of raw user data between user …
A survey of generative search and recommendation in the era of large language models
With the information explosion on the Web, search and recommendation are foundational
infrastructures to satisfying users' information needs. As the two sides of the same coin, both …
infrastructures to satisfying users' information needs. As the two sides of the same coin, both …
Large language model enhanced recommender systems: Taxonomy, trend, application and future
Large Language Model (LLM) has transformative potential in various domains, including
recommender systems (RS). There have been a handful of research that focuses on …
recommender systems (RS). There have been a handful of research that focuses on …
Darec: A disentangled alignment framework for large language model and recommender system
X Yang, H **g, Z Zhang, J Wang, H Niu… - arxiv preprint arxiv …, 2024 - arxiv.org
Benefiting from the strong reasoning capabilities, Large language models (LLMs) have
demonstrated remarkable performance in recommender systems. Various efforts have been …
demonstrated remarkable performance in recommender systems. Various efforts have been …