7 papers
Beyond Majority Voting: LLM Aggregation by Leveraging Higher-Order Information
Rui Ai, Yuqi Pan, David Simchi-Levi +2
With the rapid progress of multi-agent large language model (LLM) reasoning, how to effectively aggregate answers from multiple LLMs has emerged as a fundamental challenge. Standar…
Learning to Persuade a Biased Receiver
Yuqi Pan, Sadie Zhao, Milind Tambe +1
We study a repeated information design setting in which the receiver, who is also the decision-maker, updates beliefs in a systematically biased way. More specifically, a distorted…
Adaptive Multi-Round Allocation with Stochastic Arrivals
Yuqi Pan, Davin Choo, Haichuan Wang +3
We study a sequential resource allocation problem motivated by adaptive network recruitment, in which a limited budget of identical resources must be allocated over multiple rounds…
LLM Active Alignment: A Nash Equilibrium Perspective
Tonghan Wang, Yuqi Pan, Xinyi Yang +3
We develop a game-theoretic framework for predicting and steering the behavior of populations of large language models (LLMs) through Nash equilibrium (NE) analysis. To avoid the i…
Adaptive Frontier Exploration on Graphs with Applications to Network-Based Disease Testing
Davin Choo, Yuqi Pan, Tonghan Wang +3
We study a sequential decision-making problem on a -node graph where each node has an unknown label from a finite set , drawn from a joint distribution…
Robust Optimization with Diffusion Models for Green Security
Lingkai Kong, Haichuan Wang, Yuqi Pan +6
In green security, defenders must forecast adversarial behavior, such as poaching, illegal logging, and illegal fishing, to plan effective patrols. These behavior are often highly…