Climate PAL: Climate Analysis through Conversational AI (Papers Track)
Sonia Cromp (University of Wisconsin-Madison); Behrad Rabiei (University of California San Diego); Maxwell Elling (University of Colorado Boulder); Alexander Herron (National Aeronautics and Space Administration); Michael Hendrickson (National Aeronautics and Space Administration)
Abstract
To support climate change research and its communication to the public, we propose Climate Projection and Analysis with Language models (Climate PAL). Our system allows users to retrieve and analyze climate projection data through conversational English. Using a crowdsourced evaluation dataset, we demonstrate that Climate PAL's retrieved data are more relevant to user queries, with over 20% higher accuracy than baselines on several key metrics.