LLMs Share Neural Resources for Syntactic Agreement

This ArXiv paper examines how large language models (LLMs) handle different types of syntactic agreement. The findings suggest a unified mechanism for processing agreement phenomena within these models.

• •LLMs utilize shared neural units for different types of syntactic agreement.
• •The research provides insights into the internal workings of LLMs.
• •Understanding agreement mechanisms could improve LLM performance.