April 1, 2024Open Access

Combining Knowledge Graphs With Language Models for Interpretability

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Resumen

Incorporating Knowledge Graphs to explain reasoning processes Author Amanda Kau ( ORCID: 0009–0004–4949–9284) Introduction Large language models (LLMs) like GPT-4 possess remarkable language abilities, allowing them to function as chatbots, translators, and much more.

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Amanda Kau (Mon,) studied this question.

synapsesocial.com/papers/68e70daab6db643587687a56 https://doi.org/https://doi.org/10.59350/mk9dg-4r198

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1Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs2019 · 11 citations
2Explainable Interaction-driven User Modeling over Knowledge Graph for Sequential Recommendation2019 · 110 citations
3Rethinking Interpretability in the Era of Large Language Models2024 · 42 citations
4QA-GNN: Reasoning with Language Models and Knowledge Graphs for Question Answering2021 · 49 citations
5LMExplainer: Grounding Knowledge and Explaining Language Models2023 · 7 citations

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