Author

Yuansheng Ni

University of Waterloo

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#machine learning Preprint Sep 2026

Dissecting Training-Free Uncertainty Estimation in Multimodal LLMs

This work presents a systematic study of training-free uncertainty quantification strategies for MLLMs, categorizing existing approaches into three conceptual families: token-level methods, which operate directly in the text output space; ver-balized methods, which elicit uncertainty estimates or abstention signals via...

Soroush Seifi, Vaggelis Dorovatas, Lin Li et al. · 0 citations

Jul 2026

PRISM Edit: One Vector for All Temporal Answers

This work introduces PRISM Edit, which optimizes a single polysemous representation across temporal contexts and leverages the model's inherent modulation pathway to route it to temporally correct predictions without requiring any architectural modification.

Chen Huang, Qirui Zheng, Ruiqin Zheng et al. · arXiv.org · 1 citation