Author

Zhuoran Wang

h-index 0 View on Semantic Scholar

3 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Oct 2026

A Strong MoE Is All You Need for Process Supervision

Process reward models (PRMs) provide fine-grained supervision for multi-step reasoning, yet obtaining reliable process labels remains a central bottleneck. Existing approaches typically rely on human annotation, rollout-based estimation, or auxiliary verification. In this work, we explore a different source of process...

Guanzhi Deng, Zeng-Yan Liu, Hai-Bo Wang et al. · 0 citations

Jul 2026

TIER-MoE: Trust-Informed Expert Routing via Conditional Modality Risk for Multimodal Fusion in Biomedical Classification

TIER-MoE is introduced, a risk-guided subspace mixture-of-experts model that defines sample-specific modality reliability as the prediction loss its unimodal predictor is expected to incur, and demonstrates its superiority over state-of-the-art methods in predictive performance and probability calibration.

Yu Chang, Anzhe Cheng, Chenwei Wu et al. · arXiv.org · 0 citations

Preprint Jul 2026

TEXAS: Task-Expert-Aware Supervision for Downstream Mixture-of-Experts LLM Adaptation

This work introduces Task-Expert-Aware Supervision (TEXAS), which combines correctness-conditioned task expert discovery with token-level supervision allocation and leverages existing routing behavior without restricting adaptation to a fixed expert subset or imposing an explicit target routing distribution.

Guanzhi Deng, Haibo Wang, Kuan Wu et al. · 0 citations