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Sichun Luo

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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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