作者位次 #3/6ACL 2026Poster· Natural Language Processing
P refix NLI : Detecting Factual Inconsistencies as Soon as They Arise
Sapir Harary · Eran Hirsch · Aviv Slobodkin · David Wan · Mohit Bansal · Ido Dagan
摘要
Natural Language Inference (NLI) models have been used in various ways to improve the factuality of LLM outputs. This is typically done by applying an NLI model to judge whether the model output is entailed from the supposed evidence, triggering some corrective actions, such as beam reranking at...