Zhongjun Zhou

S-Evaluator: Enhance Factual Consistency Evaluator with Adversarial Data Synthesized by Large Language Model

With the rapid development of LLMs, the evaluation of factual consistency between source documents and generated texts plays a more crucial role in natural language generation (NLG). Recent methods usually suffer from low quality and insufficient quantity of training data. In this paper, we propose…