This research introduces a robust text transmission model that selectively transmits only critical characters while using LLMs to recover the full text at the receiving end.

• System transmits a strategically punctured text (fewer characters = lower bandwidth)
• Large Language Models reconstruct the complete message at the receiver
• Demonstrates resilience across various datasets and communication tasks
• Offers practical applications for limited-bandwidth scenarios

This engineering breakthrough enables more efficient communication systems that maintain message integrity while significantly reducing transmission requirements—particularly valuable for IoT, remote sensing, and emergency communications.

Robust Transmission of Punctured Text with Large Language Model-based Recovery