Retrieval-augmented generation for large language models: A survey
Y Gao, Y Xiong, X Gao, K Jia, J Pan, Y Bi, Y Dai… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs) demonstrate powerful capabilities, but they still face
challenges in practical applications, such as hallucinations, slow knowledge updates, and …
challenges in practical applications, such as hallucinations, slow knowledge updates, and …
Large language models for generative information extraction: A survey
Abstract Information Extraction (IE) aims to extract structural knowledge from plain natural
language texts. Recently, generative Large Language Models (LLMs) have demonstrated …
language texts. Recently, generative Large Language Models (LLMs) have demonstrated …
Large language models for information retrieval: A survey
As a primary means of information acquisition, information retrieval (IR) systems, such as
search engines, have integrated themselves into our daily lives. These systems also serve …
search engines, have integrated themselves into our daily lives. These systems also serve …
Towards open-world recommendation with knowledge augmentation from large language models
Recommender system plays a vital role in various online services. However, its insulated
nature of training and deploying separately within a specific closed domain limits its access …
nature of training and deploying separately within a specific closed domain limits its access …
Graph retrieval-augmented generation: A survey
Recently, Retrieval-Augmented Generation (RAG) has achieved remarkable success in
addressing the challenges of Large Language Models (LLMs) without necessitating …
addressing the challenges of Large Language Models (LLMs) without necessitating …
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 …
Enhancing question answering for enterprise knowledge bases using large language models
Efficient knowledge management plays a pivotal role in augmenting both the operational
efficiency and the innovative capacity of businesses and organizations. By indexing …
efficiency and the innovative capacity of businesses and organizations. By indexing …
Transcending Language Boundaries: Harnessing LLMs for Low-Resource Language Translation
Large Language Models (LLMs) have demonstrated remarkable success across a wide
range of tasks and domains. However, their performance in low-resource language …
range of tasks and domains. However, their performance in low-resource language …
All roads lead to rome: Unveiling the trajectory of recommender systems across the llm era
Recommender systems (RS) are vital for managing information overload and delivering
personalized content, responding to users' diverse information needs. The emergence of …
personalized content, responding to users' diverse information needs. The emergence of …
Modular rag: Transforming rag systems into lego-like reconfigurable frameworks
Y Gao, Y Xiong, M Wang, H Wang - arXiv preprint arXiv:2407.21059, 2024 - arxiv.org
Retrieval-augmented Generation (RAG) has markedly enhanced the capabilities of Large
Language Models (LLMs) in tackling knowledge-intensive tasks. The increasing demands of …
Language Models (LLMs) in tackling knowledge-intensive tasks. The increasing demands of …