---
title: "Novel Applications of Large Language Models in Computational Social Choice"
authors:
  - "Nguyen Thach"
doi: "10.24963/ijcai.2026/951"
url: "https://ijcai.org/proceedings/2026/951"
pdf: "https://ijcai.org/proceedings/2026/0951.pdf"
venue: "Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence"
year: 2026
pages: "8345-8346"
track: "Doctoral Consortium"
keywords:
  - "Search: Heuristic search"
  - "Game Theory and Economic Paradigms: Computational social choice"
  - "Natural Language Processing: Applications"
---

# Novel Applications of Large Language Models in Computational Social Choice

Nguyen Thach

*Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence*, pages 8345-8346. DOI: [10.24963/ijcai.2026/951](https://doi.org/10.24963/ijcai.2026/951)

## Abstract

My research initiates the use of large language models (LLMs) to automate the design of effective algorithms for challenging problems in computational social choice, namely participatory budgeting (PB) and facility location mechanism design. To this end, I propose two LLM-based frameworks that respectively generate interpretable PB rules and mechanisms fulfilling competing objectives, i.e., optimality vs. fairness or strategyproofness. Future directions include extending these frameworks to achieve provable guarantees and addressing other relevant areas such as fair division.