Semantic Consistency Testing in Large Language Model-Based Conversational Systems

Authors

  • Yash Panjari

Keywords:

Large Language Models, Conversational AI, Semantic Consistency, Software Testing, Dialogue Systems

Abstract

Large Language Models have transformed conversational AI systems, making human-computerinteractions more natural and contextually informed through high-fidelity natural language understandingand generation abilities.

References

Tom B. Brown, et al., "Language Models are Few-Shot Learners," arXiv preprint 2020.

https://arxiv.org/abs/2005.14165

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Published

2025-11-12

How to Cite

Yash Panjari. (2025). Semantic Consistency Testing in Large Language Model-Based Conversational Systems. Journal of Computational Analysis and Applications (JoCAAA), 34(11), 166–176. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4109

Issue

Vol. 34 No. 11 (2025): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.