The work develops a reflective LLM-based storytelling agent for older adults that integrates argumentation schemes and argument mining with knowledge graphs and user modeling to generate and inspect personalized health narratives, evaluated through expert design and user studies showing recognition,
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PLACO is a multi-stage framework that extends Bayesian combination of human and model labels to achieve cost-effective high performance in human-AI teams.
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A Reflective Storytelling Agent for Older Adults: Integrating Argumentation Schemes and Argument Mining in LLM-Based Personalised Narratives
The work develops a reflective LLM-based storytelling agent for older adults that integrates argumentation schemes and argument mining with knowledge graphs and user modeling to generate and inspect personalized health narratives, evaluated through expert design and user studies showing recognition,
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PLACO: A Multi-Stage Framework for Cost-Effective Performance in Human-AI Teams
PLACO is a multi-stage framework that extends Bayesian combination of human and model labels to achieve cost-effective high performance in human-AI teams.