5 papers · 1 filter
Extending Myerson's Optimal Auctions to Correlated Bidders via Neural Network Interpolation
Mingyu Guo, Jiayuan Liu, Vincent Conitzer
We aim to design revenue-maximizing single-item auctions that are deterministic, strategy-proof, and ex post individually rational --- the quintessential fundamental model for opti…
Coopshift: Post-Training Amplifies The Memory Curse In LLM Cooperation
Jiayuan Liu, Shiyi Du, Tianqin Li +3
How does post-training change cooperation during repeated interaction? Within each of seven released model lineages, we compare pretrained (Base), supervised fine-tuned (SFT), and…
Truthful and Expected-Payment-Optimal Model Routing in Graph-Based Agentic Workflows
Jiayuan Liu, Mingyu Guo, Jiarui Gan +1
Assigning routine tasks to cheaper large language model (LLM) providers can reduce generation cost, but switching providers may require processing accumulated context again. Keepin…
Incentive-Aware Multi-Fidelity Optimization for Generative Advertising in Large Language Models
Jiayuan Liu, Barry Wang, Jiarui Gan +4
Generative advertising in large language model (LLM) responses requires optimizing sponsorship configurations under two strict constraints: the strategic behavior of advertisers an…
How Many Votes is a Lie Worth? Measuring Strategyproofness through Resource Augmentation
Ratip Emin Berker, Vincent Conitzer, Eden Hartman +2
It is well known, by the Gibbard-Satterthwaite Theorem, that when there are more than two candidates, any non-dictatorial voting rule can be manipulated by untruthful voters. But h…