Unlocking Multilingual Reasoning Capabilities of LLMs and LVLMs via Representation Engineering
Qi-Ming Li, Xiao-Cheng Feng, Yi-Xuan Ma et al.
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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.
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Preprint
Aug 2026
LLaDA MoE v2: Scaling Mixture-of-Experts Diffusion Language Models
This work systematically characterize how optimization hyperparameters, compute allocation, and architecture scale for MoE dLLMs, identifying quantitative differences from scaling trends previously reported for AR models.
Fengqi Zhu, Shaoxuan Xu, Jingyang Ou et al.
· 1 citation