Artificial Intelligence #self-consistency#reranking
Self-Consistency Reranking Boosts Accuracy in Narrative Question Answering for Enterprise AI
Researchers propose a self-consistency-based reranking framework for narrative question answering that generates multiple candidates and selects the final answer by semantic agreement. On the NarrativeQA dataset, FLAN-T5-Base improved from 82.32% to 86.66%, and Pegasus-Large jumped from 72.50% to 87.07%. The method requires no architectural changes, making it a drop-in enhancement for enterprise language models.
Jun 16, 2026 1 source