Author

Rahaf Aljundi

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Preprint Sep 2026

Dissecting Training-Free Uncertainty Estimation in Multimodal Large Language Models

Multimodal Large Language Models (MLLMs) are increasingly deployed in safety-critical settings, yet estimating when their answers can be trusted remains underexplored. We systematically compare training-free verbalized, token-level and semantic uncertainty estimation methods on twelve MLLMs and five VQA benchmarks. We...

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

#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

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