#artificial intelligence
Jan 2026
Small Updates, Big Doubts: Does Parameter-Efficient Fine-tuning Enhance Hallucination Detection ?
Experimental results show that PEFT consistently strengthens hallucination detection ability, substantially improving AUROC across a wide range of hallucination detectors, and indicates that PEFT methods primarily reshapes how uncertainty is encoded and surfaced, comparing with injecting new factual knowledge into the models.
Xuehai Hu, Yifan Zhang, Song-Tao Wei et al.
· arXiv.org · 2 citations