community · 3 papers
Retrieval Augmented Language Models
Retrieval-augmented generation (RAG) and document understanding are the unifying themes, combining large language models with structured retrieval over citation graphs, PDF documents, and knowledge sources. The work spans both methodology—surveying how RAG enhances LLMs and building foundation models over citation graph structures—and evaluation, with benchmarks for assessing diverse PDF document parsing quality.