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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 …
Graph of records: Boosting retrieval augmented generation for long-context summarization with graphs
Retrieval-augmented generation (RAG) has revitalized Large Language Models (LLMs) by
injecting non-parametric factual knowledge. Compared with long-context LLMs, RAG is …
injecting non-parametric factual knowledge. Compared with long-context LLMs, RAG is …
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
Large language models (LLMs) have demonstrated remarkable capabilities in a wide range
of tasks, yet their application to specialized domains remains challenging due to the need for …
of tasks, yet their application to specialized domains remains challenging due to the need for …
HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generation
H Liu, Z Wang, X Chen, Z Li, F **ong, Q Yu… - arxiv preprint arxiv …, 2025 - arxiv.org
Retrieval-Augmented Generation (RAG) systems often struggle with imperfect retrieval, as
traditional retrievers focus on lexical or semantic similarity rather than logical relevance. To …
traditional retrievers focus on lexical or semantic similarity rather than logical relevance. To …
[PDF][PDF] Knowledge Graph and Large Language Model Co-learning via Structure-oriented Retrieval Augmented Generation
Recent years have witnessed major technical breakthroughs in AI–facilitated by tremendous
data and high-performance computers, large language models (LLMs) have brought …
data and high-performance computers, large language models (LLMs) have brought …