LUCID

Researchers introduced LUCID, a hierarchical model-based reinforcement learning framework for long-horizon humanoid loco-manipulation, which plans over reusable skills via imagined rollouts of a learn…

Researchers propose LUCID, an LLM-guided, interpretable, training-free, and unsupervised community detection method that achieves state-of-the-art performance on real-world datasets, outperforming lea…

Researchers proposed LUCID, the first hallucination detection method for large language model-based knowledge graph reasoning, which jointly leverages LLM attention scores, KG semantics, and structura…