1 citations · 1 across the 4 of their papers we have counts for
4 papers
Decentralized Aggregation of LLM Predictions via Wagering Mechanisms
Yuhong Luo, David M. Pennock, Xintong Wang
It is increasingly common to aggregate predictions from multiple LLMs, each with domain expertise or access to private tools and data, to improve collective prediction performance.…
Algorithmic Collusion at Test Time: A Meta-game Design and Evaluation
Yuhong Luo, Daniel Schoepflin, Xintong Wang
The threat of algorithmic collusion, and whether it merits regulatory intervention, remains debated, as existing evaluations of its emergence often rely on long learning horizons,…
Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference
Yuhong Luo, Austin Hoag, Xintong Wang +2
Representation learning is increasingly applied to generate representations that generalize well across multiple downstream tasks. Ensuring fairness guarantees in representation le…
Learning Fair Representations with High-Confidence Guarantees
Yuhong Luo, Austin Hoag, Philip S. Thomas
Representation learning is increasingly employed to generate representations that are predictive across multiple downstream tasks. The development of representation learning algori…