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Wenxuan Zhang

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#artificial intelligence Preprint Sep 2026

COMED: The Missing Middle Between Routing and Collaboration in Multi-LLM Inference

No single Large Language Model (LLM) is uniformly reliable across queries, motivating multi-model inference systems that either route among models or combine their outputs. However, routing stops after selecting an initial model, while dense collaboration invokes peers on every query. We show that collaboration is non-...

Norah Alballa, Wen-Xuan Zhang, Salma Kharrat et al. · 0 citations
Jul 2026

Hybrid Advantage Estimation with Unified Critic for VLM Agentic Reinforcement Learning

This work proposes HyGAE, an actor-critic framework that jointly optimizes token- and turn-level objectives with the hybrid advantage and unified critic and provides an in-depth analysis showing that the exact analytic form of the hybrid advantage and return is crucial for optimization.

Wen-Xuan Zhang, Yu-Hui Wang, Donggang Jia et al. · 0 citations

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