The reflection capacity of Large Language Model (LLM) has garnered extensive attention. A
post-hoc prompting strategy, eg, reflexion and self-refine, refines LLM's response based on …

Math word problem solver requires both precise relation reasoning about quantities in the
text and reliable generation for the diverse equation. Current sequence-to-tree or relation …

Large Language Models exhibit robust problem-solving capabilities for diverse tasks.
However, most LLM-based agents are designed as specific task solvers with sophisticated …

Generating mathematical equations from natural language requires an accurate
understanding of the relations among math expressions. Existing approaches can be …

Autonomous obstacle avoidance is of vital importance for an intelligent agent such as a
mobile robot to navigate in its environment. Existing state-of-the-art methods train a spiking …

Reliable navigation systems have a wide range of applications in robotics and autonomous
driving. Current approaches employ an open-loop process that converts sensor inputs …

Mobile robots operating in unknown social environments demand the ability to navigate
among crowds and other obstacles in a safe and socially compliant manner without prior …

In narrow spaces, motion planning based on the traditional hierarchical autonomous system
could cause collisions due to mapping, localization, and control noises, especially for car …

The increasing presence of autonomous robots in numerous settings necessitates the
development of advanced navigation techniques that can handle complex environments. In …