Nedimo: An Evidence-Grounded Multilingual Pipeline for AI-Generated Sleep Stories
Read the original on arXiv Computation and Language →The paper presents Nedimo, a multilingual pipeline that generates and narrates low‑arousal sleep stories using a combination of deterministic planning and large language model generation. It details a structured workflow that includes content planning, script shaping, error‑aware retries, and rigorous loudness normalization, while also recording user interaction metrics as behavioral proxies. The authors provide an evidence‑to‑requirement mapping, a guardrail architecture with explicit acceptance thresholds, and a prospective protocol for evaluating sleep‑onset effects, emphasizing that no clinical efficacy is claimed and that empirical testing is needed.
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