Dr. Guang Wang has a paper accepted by ACL 2025
Dr. Guang Wang, an Assistant Professor in the Computer Science Department, and his recent research has been published by Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) Industry track. The acceptance rate is 26%. This research paper is titled “CoAlign: Uncertainty Calibration of LLM for Geospatial Repartition”. Dr. Guang Wang is the corresponding author of this paper.
In this work, they design CoAlign, a novel three-stage framework that calibrates LLM uncertainty to enable robust geospatial repartition by transforming the task into a ranking problem, integrating historical data with LLM-generated candidates. It first generates explainable candidate partitions with a multi-criteria strategy and then designs a novel conformal method to rank these candidates relative to historical partitions with coverage guarantees. Finally, CoAlign delivers candidates through an interactive decision support system. Extensive evaluation with realworld data shows that CoAlign effectively calibrates LLM uncertainty and generates partitions that better align with human feedback. This work provides a novel angle to address industrial geospatial decision-making tasks by calibrating LLM uncertainty.