Author

Dong Yu

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#machine learning Preprint Sep 2026

Dissecting Training-Free Uncertainty Estimation in Multimodal LLMs

Multimodal Large Language Models (MLLMs) have achieved remarkable performance across a wide range of multimodal tasks, yet understanding and quantifying their predictive uncertainty remains underexplored despite being central for safety critical applications. In this work, we present a systematic study of training-free...

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