A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
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GraphRAG enhances LLM-driven RAG for finance by using graph-based retrieval to reduce hallucinations and improve contextual coherence.
Alberto Peruzzo, Jarrod R. McClean, Peter Shadbolt, et al.
Introduces a variational eigenvalue solver that reduces coherence requirements for quantum computation, demonstrated on a photonic processor for He-H+ ground-state energy.
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This paper investigates whether large language models can serve as implicit text-based world models, proposing evaluation metrics for fidelity and coherence.