Researchers have developed a scalable and governed pipeline called GenAI Evaluation for assessing conversational agents, particularly in retail settings. This framework goes beyond simple metrics to evaluate aspects like intent alignment, factuality, helpfulness, clarity, and tone. It processes a large volume of production chatbot logs daily, employing selective re-evaluation and robust logging for auditability, and has demonstrated high accuracy in human-labeled validation studies. AI
IMPACT Provides a framework for more robust and auditable evaluation of conversational AI systems in production environments.
RANK_REASON The item is an academic paper detailing a new evaluation pipeline for conversational agents. [lever_c_demoted from research: ic=1 ai=1.0]
- alphaXiv
- arXiv
- CatalyzeX
- Connected Papers
- DagsHub
- GenAI Evaluation
- Gotit.pub
- Hugging Face
- Influence Flower
- Litmaps
- ScienceCast
- scite Smart Citations
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