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
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.
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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