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Rahaf Aljundi

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#machine learning Preprint Sep 2026

Dissecting Training-Free Uncertainty Estimation in Multimodal Large Language Models

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
Preprint Jul 2026

DemoBridge: A Simulation-in-the-Loop Toolkit for Single-View Human Demonstration Retargeting

We present DemoBridge, an toolkit that turns a single-view RGB stereo recording of a human hand demonstration into an executable, physics-validated robot-arm trajectory. Retargeting across the embodiment gap is hard. A robot arm reaches a target with a long, articulated body whose links carry far more collision volume...

Zehao Wang, Fabien Despinoy, Sergey Zakharov et al. · 0 citations

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