Papers with theory-informed behavioral models
From Perceptions to Decisions: Wildfire Evacuation Decision Prediction with Behavioral Theory-informed LLMs (2025.acl-long)
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| Challenge: | Existing statistical methods for evacuation decision prediction fail to capture complex and diverse behavioral logic of different individuals. |
| Approach: | They propose a Large Language Model (LLM)-based framework that integrates behavioral theories and models to streamline the Chain-of-Thought reasoning and integrates with memory-based Reinforcement Learning module to provide accurate evacuation decision prediction and understanding. |
| Outcome: | The proposed framework improves on three post-wildfire survey datasets with strong cross-event generalizability over existing models. |