How Fine-Tuning Objectives Shape Layer-Wise Information in LLM Hallucination Detection

Kaiyang Wan, Forrest Sheng Bao, Amin Ahmad +1

Under matched conditions, classifier-head fine-tuning (\textsc{cls}) paradigm consistently outperforms the LLM-as-Judge sequence-to-sequence (\textsc{s2s}) on binary hallucination…