Author

Yitian Gong

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Preprint Oct 2026

Soloist: A Generative Model for Blind Voice Separation in the Wild

Real-world voice separation must recover individual voices from overlapping speech, environmental noise, and music, yet isolated source recordings are rarely available for supervision. We introduce Soloist, a generative model for blind voice separation that autoregressively generates individual voice streams as audio-c...

Chenchen Yang, Chu-Fan Yu, Bo-Tian Jiang et al. · 0 citations

#natural language process... Preprint Oct 2026

MiMo-V2.6: Scaling Reinforcement Learning Towards Self-Improvement

Reinforcement learning (RL) is the central training paradigm for advancing large foundation models towards self-improvement. This report introduces the MiMo-V2.6 series, an omni-modal family that pushes the frontier of model intelligence by scaling RL compute. Prior to RL, we conduct mid-training on a broad multimodal...

Xiao-Zhen Qiao, Zi-Yue Hua, Zi-Rui Ou et al. · 6 citations

Jul 2026

OmniVAE: An Audio-Video VAE with Cross-Modal Alignment for Joint Generation

OmniVAE is presented, a jointly trained audio-video VAE that learns fine-grained semantic alignment between audio and video latent representations that translates into higher generation quality and more accurate cross-modal synchronization in downstream text-to-audio-video generation.

Jun Zhan, Chenchen Yang, Yitian Gong et al. · arXiv.org · 0 citations