#artificial intelligence
May 2026
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.
· arXiv.org · 0 citations