Machine Learning Engineer, Facebook
2 papers at NeurIPS 2025
We propose thought communication for agents to interact directly mind-to-mind, prove its nonparametric identifiability, and develop a framework for communication beyond language.
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.