Zhuokai Zhao

We propose thought communication for agents to interact directly mind-to-mind, prove its nonparametric identifiability, and develop a framework for communication beyond language.

A novel benchmark using a comprehensive preference dataset to evaluate multimodal judges across multiple key perspectives

We propose a PEFT architecture that performs structural mixture of LoRA experts, boosting the expressive power of traditional MoE with negligible parameter and computation overhead.