When Do Hallucinations Arise? A Graph Perspective on the Evolution of Path Reuse and Path Compression

1. 1Model next-token prediction as a graph search process over an underlying graph
2. 2Analyze the evolution of path reuse and path compression in the graph
3. 3Identify the mechanisms by which decoder-only Transformers produce hallucinations
4. 4Develop strategies to mitigate hallucinations in LLMs

AI researchers and engineers working on large language models can benefit from this study to improve model reliability and accuracy, and software engineers can apply graph search techniques to develop more robust models

💡 Hallucinations in LLMs can be modeled as a graph search process, providing insights into their mechanisms and mitigation strategies

🤖 Hallucinations in LLMs can be understood through graph search processes #AI #LLMs