Discover ASPECT, a language-conditioned method enabling RL agents to generalize and transfer policies efficiently across novel tasks without retraining.
Discover Chain-in-Tree, a framework optimizing LLM tree search by reducing runtime and token use by up to 85% without losing accuracy in reasoning tasks.