Hongxiang Zhang

Active Layer-Contrastive Decoding Reduces Hallucination in Large Language Model Generation

Recent decoding methods improve the factuality of large language models (LLMs) by refining how the next token is selected during generation. These methods typically operate at the token level, leveraging internal representations to suppress superficial patterns. Nevertheless, LLMs remain prone to ha