4 papers
Spatial Heterogeneity in Climate Risk and Human Flourishing: An Exploration with Generative AI
Stefano Maria Iacus, Haodong Qi, Devika Jain
Recent advances in Generative Artificial Intelligence (AI), particularly Large Language Models (LLMs), enable scalable extraction of spatial information from unstructured text and…
Dynamic Attention (DynAttn): Interpretable High-Dimensional Spatio-Temporal Forecasting (with Application to Conflict Fatalities)
Stefano M. Iacus, Haodong Qi, Marcello Carammia +1
Forecasting conflict-related fatalities remains a central challenge in political science and policy analysis due to the sparse, bursty, and highly non-stationary nature of violence…
Deep literature reviews: an application of fine-tuned language models to migration research
Stefano M. Iacus, Haodong Qi, Jiyoung Han
This paper presents a hybrid framework for literature reviews that augments traditional bibliometric methods with large language models (LLMs). By fine-tuning open-source LLMs, our…
Large Language Models for Mathematical Analysis
Ziye Chen, Hao Qi
Mathematical problem-solving is a key field in artificial intelligence (AI) and a critical benchmark for evaluating the capabilities of large language models (LLMs). While extensiv…