most citedGLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.AI2024

Thinking Fast and Laterally: Multi-Agentic Approach for Reasoning about Uncertain Emerging Events

Stefan Dernbach, Alejandro Michel, Khushbu Agarwal +3

This paper introduces lateral thinking to implement System-2 reasoning capabilities in AI systems, focusing on anticipatory and causal reasoning under uncertainty. We present a fra…

cs.AI2024★ 1 cited

GLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding

Stefan Dernbach, Khushbu Agarwal, Alejandro Zuniga +2

Integrating large language models (LLMs) with knowledge graphs derived from domain-specific data represents an important advancement towards more powerful and factual reasoning. As…