Text-to-image diffusion has attracted vast attention due to its impressive image-generation capabilities.

In this paper we adapt the nearest neighbour rule to the contextual bandit problem.

Specifically, we explore VPG transfer across different LLM sizes ( e .

We first take a theoretical approach to analyzing debate and provide a framework through which debate can be mathematically examined. Building on this framework, we provide several theoretical results for multi-agent debate.