Author

Zhisong Zhang

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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

#natural language process... May 2025

InComeS: Integrating Compression and Selection Mechanisms into LLMs for Efficient Model Editing

InComeS is a flexible framework that enhances LLMs'ability to process editing contexts through explicit compression and selection mechanisms, enabling efficient handling of multiple edits without being restricted by the model's context window.

Shuaiyi Li, Zhisong Zhang, Yang Deng et al. · arXiv.org · 1 citation