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Xiangru Tang

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Latent Action Reparameterization for Efficient Agent Inference

Large language model (LLM) agents often rely on long sequences of low-level textual actions, resulting in large effective decision horizons and high inference cost. While prior work has focused on improving inference efficiency through system-level optimizations or prompt engineering, we argue that a key bottleneck lie...

Wenhao Huang, Qing-Wen Zeng, Qi-Yue Chen et al. · 0 citations
#protein folding Preprint Aug 2026

AgentFold: Closed-Loop Agentic Search for Protein Folding Model Design

AgentFold is presented, a multi-agent framework that formulates folding-model development as a closed-loop search over executable code variants and improves the best lDDT by 7.5% over independent Codex proposals and outperforms a random-search control.

Ming-Quan Liu, Jiangyue Chen, Han-Qun Cao et al. · 0 citations

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