4 papers · 1 filter
Evaluating and Pricing Advertisements in AI-Generated Responses
John L. Turner-Smith, Zimeng Huang, Yuhan Fu +2
As search increasingly shifts toward LLM-driven answer engines, advertising is becoming embedded within the generated response itself and should therefore be evaluated for both use…
How LLMs Are Persuaded: A Few Attention Heads, Rerouted
Xiangkun Sun, Lingkai Kong, Aoqi Zhang +2
Language models can be persuaded to abandon factual knowledge. This vulnerability is central to AI safety, but its internal mechanism remains poorly understood. We uncover a compac…
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 $…