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Yi-Xin Cao

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#artificial intelligence Preprint Sep 2026

From Concentration to Differentiation and Back: Routing Effective Rank in MoE Reasoning Cohorts

Test-time scaling produces cohorts of reasoning rollouts, yet there is no standard label-free account of how their internal computation reorganizes as inference unfolds. We introduce routing effective rank deff, the entropy-effective dimensionality of a cross-rollout graph built from MoE expert-routing similarity. Acro...

Kang Chen, Si-Han Zhao, Yi-Xin Cao et al. · 0 citations
Preprint Aug 2026

Beyond the Trace: Coupling an Interpretable Reasoning-State Readout to Native MoE Routing

A two-level internal readout for mixture-of-experts reasoning that makes latent process state readable, while routing makes it deployable and actionable and improves single-branch selection and plain majority voting over completed candidate sets.

Kang Chen, Si-Han Zhao, Yi-Xin Cao et al. · 0 citations
#software testing Preprint Aug 2026

Disagree to Explore, Agree to Commit: Routing-Guided Test-Time Scaling for Software Agents

This work introduces Risa (Routing-Informed Steering and Arbitration): within trajectories, routing encourages diverse exploration and controlled convergence during patch commitment; across separately sampled trajectories, agreement at informative patch positions selects a final candidate.

Kang Chen, Junjie Nian, Yi-Xin Cao et al. · 0 citations

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