The Alignment Paradox: How Post-Training Amplifies Confident Hallucinations in Language Models.

arXiv:2609.32617v1 Announce Type: cross Abstract: Large language models (LLMs) can produce factually incorrect answers with high confidence, undermining their reliability and limiting the effectiveness of uncertainty-based error detection. While prior research