Latent profile analysis of 1,174 Reddit users identifies four self-stigma personas in PWUD; sequential classifiers reach macro-F1 0.74, but eight clinical experts rate generic LLM empathy higher than persona-conditioned responses despite the latter driving targeted shifts.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , publisher =
2 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 2representative citing papers
The paper formalizes three types of pluralistic AI models and three benchmark classes, arguing that current alignment techniques may reduce rather than increase distributional pluralism.
citing papers explorer
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Self-Stigma Is Not a Monolith, but Generic Empathy Is: Persona-Conditioned LLM Support for People Who Use Drugs
Latent profile analysis of 1,174 Reddit users identifies four self-stigma personas in PWUD; sequential classifiers reach macro-F1 0.74, but eight clinical experts rate generic LLM empathy higher than persona-conditioned responses despite the latter driving targeted shifts.
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A Roadmap to Pluralistic Alignment
The paper formalizes three types of pluralistic AI models and three benchmark classes, arguing that current alignment techniques may reduce rather than increase distributional pluralism.