Mechanism Design for Large Language Models (Extended Abstract)
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence. Sister Conferences Best Papers. Pages 10885-10890.
https://doi.org/10.24963/ijcai.2025/1210
Keywords
- Sister Conferences Best Papers: Multidisciplinary Topics and Applications
- Sister Conferences Best Papers: Game Theory and Economic Paradigms
- Sister Conferences Best Papers: Machine Learning
Abstract
We investigate auction mechanisms for AI-generated content, focusing on applications like ad creative generation. In our model, agents' preferences over stochastically generated content are encoded as large language models (LLMs).
We propose an auction format that operates on a token-by-token basis, and allows LLM agents to influence content creation through single dimensional bids. We formulate two desirable incentive properties and prove their equivalence to a monotonicity condition on output aggregation. This equivalence enables a second-price rule design, even absent explicit agent valuation functions. Our design is supported by demonstrations on a publicly available LLM.
@inproceedings{ijcai2025p1210,
title = {Mechanism Design for Large Language Models (Extended Abstract)},
author = {Dütting, Paul and Mirrokni, Vahab and Paes Leme, Renato and Xu, Haifeng and Zuo, Song},
booktitle = {Proceedings of the Thirty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-25}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {James Kwok},
pages = {10885--10890},
year = {2025},
month = {8},
note = {Sister Conferences Best Papers},
doi = {10.24963/ijcai.2025/1210},
url = {https://doi.org/10.24963/ijcai.2025/1210},
}
TY - CPAPER TI - Mechanism Design for Large Language Models (Extended Abstract) AU - Dütting, Paul AU - Mirrokni, Vahab AU - Paes Leme, Renato AU - Xu, Haifeng AU - Zuo, Song T2 - Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2025 SP - 10885 EP - 10890 DO - 10.24963/ijcai.2025/1210 UR - https://doi.org/10.24963/ijcai.2025/1210 ER -Copied
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