Enabling Verifiable Text Generation with Symbolic References in Large Language Models

Symbolically grounded generation (SymGen) is a simple approach that enables easier manual verification of large language model (LLM) outputs by interleaving generated text with explicit symbolic references to fields present in the conditioning data.