• Computer Science > Computation and Language [Submitted on 28 Jan 2026] Title:Disaster Question Answering with LoRA Efficiency and Accurate End Position View PDF HTML (experimental)Abstract:Natural disasters such as earthquakes, torrential rainfall, floods, and volcanic eruptions occur with extremely low frequency and affect limited geographic areas • When individuals face disaster situations, they often experience confusion and lack the domain-specific knowledge and experience necessary to determine appropriate responses and actions • While disaster information is continuously updated, even when utilizing RAG search and large language models for inquiries, obtaining relevant domain knowledge about natural disasters and experiences similar to one’s specific situation is not guaranteed • When hallucinations are included in disaster question answering, artificial misinformation may spread and exacerbate confusion • This work introduces a disaster-focused question answering system based on Japanese disaster situations and response experiences • Utilizing the cl-tohoku/bert-base-japanese-v3 + Bi-LSTM + Enhanced Position Heads architecture with LoRA efficiency optimization, we achieved 70

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  • Computer Science > Computation and Language [Submitted on 28 Jan 2026] Title:Disaster Question Answering with LoRA Efficiency and Accurate End Position View PDF HTML (experimental)Abstract:Natural disasters such as earthquakes, torrential rainfall, floods, and volcanic eruptions occur with extremely low frequency and affect limited geographic areas. When individuals face disaster situations, they often experience confusion and lack the domain-specific knowledge and experience necessary to determine appropriate responses and actions. While disaster information is continuously updated, even when

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