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Author

Zhuoran Wang

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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. · 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

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