5 papers
Information Design With Large Language Models
Paul Duetting, Safwan Hossain, Tao Lin +4
Information design is typically studied through the lens of Bayesian signaling, where signals shape beliefs purely based on their correlation with the true state of the world. Howe…
Stop Wasting Your Tokens: Towards Efficient Runtime Multi-Agent Systems
Fulin Lin, Shaowen Chen, Ruishan Fang +2
While Multi-Agent Systems (MAS) excel at complex tasks, their growing autonomy with operational complexity often leads to critical inefficiencies, such as excessive token consumpti…
Learning to Play Multi-Follower Bayesian Stackelberg Games
Gerson Personnat, Tao Lin, Safwan Hossain +1
In a multi-follower Bayesian Stackelberg game, a leader plays a mixed strategy over actions to which followers, each having one of possible private types, best res…
LLM-Grounded Dynamic Task Planning with Hierarchical Temporal Logic for Human-Aware Multi-Robot Handover
Shuyuan Hu, Tao Lin, Kai Ye +2
Large Language Models (LLMs) enable non-experts to specify open-world multi-robot tasks, but the generated plans are often kinematically infeasible and inefficient in long-horizon…
Learning to Coordinate Bidders in Non-Truthful Auctions
Hu Fu, Tao Lin
In non-truthful auctions such as first-price and all-pay auctions, the independent strategic behaviors of bidders, with the corresponding Bayes-Nash equilibrium notion, are notorio…