Retrieval-augmented generation with graphs (graphrag)
Retrieval-augmented generation (RAG) is a powerful technique that enhances downstream
task execution by retrieving additional information, such as knowledge, skills, and tools from …
task execution by retrieving additional information, such as knowledge, skills, and tools from …
Contextual Augmentation for Entity Linking using Large Language Models
Entity Linking involves detecting and linking entity mentions in natural language texts to a
knowledge graph. Traditional methods use a two-step process with separate models for …
knowledge graph. Traditional methods use a two-step process with separate models for …
Inferring Scientific Cross-Document Coreference and Hierarchy with Definition-Augmented Relational Reasoning
L Forer, T Hope - arXiv preprint arXiv:2409.15113, 2024 - arxiv.org
We address the fundamental task of inferring cross-document coreference and hierarchy in
scientific texts, which has important applications in knowledge graph construction, search …
scientific texts, which has important applications in knowledge graph construction, search …
Entity Linking for Wikidata using Large Language Models and Wikipedia Links
F Mitsuji, S Chakraborty, T Morita… - … on Computing and …, 2024 - ieeexplore.ieee.org
Entity Linking (EL), a task that maps named entities in text to corresponding entities in a
knowledge base, has gained attention as a fundamental technology in knowledge …
knowledge base, has gained attention as a fundamental technology in knowledge …