2 papers
cs.CL2026
JEPA-Reasoner: Decoupling Latent Reasoning from Token Generation
Bingyang Kelvin Liu, Ziyu Patrick Chen, David P. Woodruff
Current autoregressive language models couple high-level reasoning and low-level token generation into a single sequential process, making the reasoning trajectory vulnerable to co…
cs.CV2025
A Separable Self-attention Inspired by the State Space Model for Computer Vision
Juntao Zhang, Shaogeng Liu, Kun Bian +5
Mamba is an efficient State Space Model (SSM) with linear computational complexity. Although SSMs are not suitable for handling non-causal data, Vision Mamba (ViM) methods still de…