Author

Da-Hua Lin

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#artificial intelligence Preprint Oct 2026

RollVerify: Bridging Efficiency and Accuracy in Long-Tail Rollout Reinforcement Learning

Reinforcement learning is crucial for improving large language models'reasoning and generalization. It relies on massive rollouts whose lengths become increasingly long-tailed as context windows grow. In on-policy training, these long-tail rollouts can result in GPU bubbles, reducing system utilization and limiting RL...

Yong-Qiang Yao, Jing-Ru Tan, Kai-Huan Liang et al. · 0 citations

Preprint Sep 2026

SenseNova-U1.5: Towards Native Unified Visual Intelligence

Native unified modelling is position as a promising path towards systems that perceive, reason and create within a fully end-to-end framework through SenseNova-U1.5, an 8B-MoT native unified multimodal model that understands, reasons about, and generates visual content within an encoder-free and VAE-free architecture.

Hai-Wen Diao, Jia-Hao Wang, Chen-Jing Ding et al. · 3 citations

#natural language process... Review Sep 2026

NCP-ArchPreview Technical Report: Moving towards Latent Space Language Models through Next Concept Prediction

NCP-ArchPreview is introduced, a latent-space language model that pushes autoregressive pretraining beyond standard next-token prediction (NTP) and learns through Next Concept Prediction (NCP) to predict discrete concepts that span multiple tokens, introducing an explicit and more challenging concept-level objective wh...

T.-A. Cao, Chi-Yu Chen, Shuang Cheng et al. · 0 citations