Summary of Grapheval: a Knowledge-graph Based Llm Hallucination Evaluation Framework, by Hannah Sansford et al.
GraphEval: A Knowledge-Graph Based LLM Hallucination Evaluation Framework
by Hannah Sansford, Nicholas Richardson, Hermina Petric Maretic, Juba Nait Saada
First submitted to arxiv on: 15 Jul 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed GraphEval framework is designed to evaluate Large Language Model (LLM) responses and detect inconsistencies, or hallucinations, with respect to provided knowledge. The current metrics fall short in providing explainable decisions, systematically checking all response pieces, and being computationally efficient. GraphEval represents information in Knowledge Graph (KG) structures to identify specific triples prone to hallucinations, providing insight into where hallucinations occur. This approach improves balanced accuracy on various benchmarks compared to using state-of-the-art natural language inference models. Additionally, the framework is applied for hallucination correction through GraphCorrect, demonstrating that most hallucinations can be rectified. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Large Language Models (LLMs) are super smart computers that understand human language. But sometimes these models make mistakes and say things that aren’t true. This paper presents a new way to check if an LLM’s answer is correct or not. It uses special structures called Knowledge Graphs to see where the mistake might be. By using this method, the accuracy of LLM answers improves significantly. The authors also show how to fix these mistakes by correcting the hallucinations. |
Keywords
» Artificial intelligence » Hallucination » Inference » Knowledge graph » Large language model
