Improving Faithfulness in Knowledge-to-Text Generation through Hypothesis Verification

Hallucinations in knowledge-to-text generation can be mitigated by incorporating hypothesis verification during decoding, which ranks generation candidates based on how well their hypotheses are supported by the input facts.