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Jordan Branham

4 papers

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papers

Publications (4)

cs.AI2025

WildfireGPT: Tailored Large Language Model for Wildfire Analysis

Yangxinyu Xie, Bowen Jiang, Tanwi Mallick +10

Recent advancement of large language models (LLMs) represents a transformational capability at the frontier of artificial intelligence. However, LLMs are generalized models, traine…

cs.CL2025

Comparative Evaluation of Prompting and Fine-Tuning for Applying Large Language Models to Grid-Structured Geospatial Data

Akash Dhruv, Yangxinyu Xie, Jordan Branham +1

This paper presents a comparative study of large language models (LLMs) in interpreting grid-structured geospatial data. We evaluate the performance of a base model through structu…

cs.CL2025

GeoGrid-Bench: Can Foundation Models Understand Multimodal Gridded Geo-Spatial Data?

Bowen Jiang, Yangxinyu Xie, Xiaomeng Wang +6

We present GeoGrid-Bench, a benchmark designed to evaluate the ability of foundation models to understand geo-spatial data in the grid structure. Geo-spatial datasets pose distinct…

cs.CL2025

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…

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