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Chen-Xing Wei

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#artificial intelligence Preprint Sep 2026

OptiCom : A Unified Framework for State-Conditioned Composition in LLM-Driven Optimization

Large language models (LLMs) are increasingly deployed to solve complex scientific and practical problems via iterative optimization. However, dynamically coordinating diverse search mechanisms as candidate quality, failure modes, and resource budgets evolve remains a critical open challenge. Targeted empirical diagnos...

Chen-Xing Wei, Si-Chen Liu, Lizzie Liu et al. · 0 citations

Test-Time Policy Adaptation for Enhanced Multi-Turn Interactions with LLMs

This work proposes a new paradigm: Test-Time Policy Adaptation for Multi-Turn Interactions (T2PAM), which utilizes user feedback from the ongoing interaction as a reward signal to estimate a latent optimal policy aligned with user preferences, then updates a small subset of parameters to steer the model toward this pol...

Chen-Xing Wei, Hong Wang, Ying He et al. · 4 citations

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