most citedHuman-Calibrated Automated Testing and Validation of Generative Language Models

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cs.CL2024★ 2 cited

Human-Calibrated Automated Testing and Validation of Generative Language Models

Agus Sudjianto, Aijun Zhang, Srinivas Neppalli +2

This paper introduces a comprehensive framework for the evaluation and validation of generative language models (GLMs), with a focus on Retrieval-Augmented Generation (RAG) systems…

cs.CL2024

Automatic Generation of Behavioral Test Cases For Natural Language Processing Using Clustering and Prompting

Ying Li, Rahul Singh, Tarun Joshi +1

Recent work in behavioral testing for natural language processing (NLP) models, such as Checklist, is inspired by related paradigms in software engineering testing. They allow eval…