LLMs Learn to Identify Unsolvable Problems

This research explores a novel approach to improve the reliability of Large Language Models (LLMs) by training them to recognize problems beyond their capabilities. Detecting unsolvability is crucial for avoiding incorrect outputs and ensuring LLM's responsible deployment.

• •LLMs can be trained to identify problems they cannot solve.
• •This improves the accuracy and reliability of LLM responses.
• •The approach helps prevent LLMs from producing incorrect or nonsensical outputs.