Retrieval-Augmented Large Language Models for Evidence-Informed Guidance on Cannabidiol Use in Older Adults

Collection of recent arXiv CS/IR papers (April 14, 2026) covering advances in large language model (LLM) applications and retrieval-augmented generation (RAG). Topics include a retrieval-augmented framework for safe cannabidiol guidance for older adults, context-aware LLM agent simulation for recommender evaluation, HyEm for integrating hyperbolic ontology embeddings with Euclidean ANN indexing, LLM-driven cross-domain sequential recommendation (SemaCDR), a multimodal retrieval+LLM reasoning framework for engineering docs (MCERF), a comprehensive sequential recommendation benchmark (SRBench),评