5 citations · 6 across the 3 of their papers we have counts for
3 papers
A RAG-Based Multi-Agent LLM System for Natural Hazard Resilience and Adaptation
Yangxinyu Xie, Bowen Jiang, Tanwi Mallick +10
Large language models (LLMs) are a transformational capability at the frontier of artificial intelligence and machine learning that can support decision-makers in addressing pressi…
Analyzing Regional Impacts of Climate Change using Natural Language Processing Techniques
Tanwi Mallick, John Murphy, Joshua David Bergerson +3
Understanding the multifaceted effects of climate change across diverse geographic locations is crucial for timely adaptation and the development of effective mitigation strategies…
Analyzing the impact of climate change on critical infrastructure from the scientific literature: A weakly supervised NLP approach
Tanwi Mallick, Joshua David Bergerson, Duane R. Verner +3
Natural language processing (NLP) is a promising approach for analyzing large volumes of climate-change and infrastructure-related scientific literature. However, best-in-practice…