Uncertainty-Aware Transformers: Conformal Prediction for Language Models

ArXi:2604.08885v1 Announce Type: new Transformers have had a profound impact on the field of artificial intelligence, especially on large language models and their variants. However, as was the case with neural networks, their black-box nature limits trust and deployment in high-stakes settings. For models to be genuinely useful and trustworthy in critical applications, they must provide than just predictions: they must supply users with a clear understanding of the reasoning that underpins their decisions.