Novel Applications of Large Language Models in Computational Social Choice
Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence. Doctoral Consortium. Pages 8345-8346.
https://doi.org/10.24963/ijcai.2026/951
Keywords
- Search: Heuristic search
- Game Theory and Economic Paradigms: Computational social choice
- Natural Language Processing: Applications
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.
@inproceedings{ijcai2026p951,
title = {Novel Applications of Large Language Models in Computational Social Choice},
author = {Thach, Nguyen},
booktitle = {Proceedings of the Thirty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-26}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Diego Calvanese},
pages = {8345--8346},
year = {2026},
month = {8},
note = {Doctoral Consortium},
doi = {10.24963/ijcai.2026/951},
url = {https://doi.org/10.24963/ijcai.2026/951},
}
TY - CPAPER TI - Novel Applications of Large Language Models in Computational Social Choice AU - Thach, Nguyen T2 - Proceedings of the Thirty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-26 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2026 SP - 8345 EP - 8346 DO - 10.24963/ijcai.2026/951 UR - https://doi.org/10.24963/ijcai.2026/951 ER -Copied
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