Author

Zhen-Xuan Yu

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Preprint Jul 2026

CHASE: Cache-Hole-Adapted Skip Exit for Looped State-Space Language Models

Recent work on looped language models suggests that many reasoning problems benefit from greater computational depth rather than from additional independent parameters. Existing studies, however, focus almost exclusively on Transformer backbones, leaving open whether this principle also applies to state-space language...

Zhen-Xuan Yu, Takeshi Kojima, Yutaka Matsuo et al. · 0 citations

Preprint Jul 2026

Looped State-Space Language Models with Adaptive Exit-State Selection

Looped Mamba and Looped Hybrid Mamba-Transformer architectures, which repeatedly apply a shared Mamba block to introduce explicit finite-depth recurrent computation, are investigated and adaptive exit-state selection improves downstream performance at intermediate depths, while actual inference-time savings require add...

Zhenxuan Yu, Takeshi Kojima, Yutaka Matsuo et al. · 0 citations