Tag
This paper introduces GAVEL, a framework that uses graph world models to verify and repair long-horizon LLM planning for robotic tasks, significantly improving success rates and efficiency in simulations.
NormAct is a benchmark that evaluates embodied planning agents on hidden social norm compliance, revealing that state-of-the-art MLLMs achieve 67.3% goal achievement but only 26.4% norm compliance, and proposes NormPerceptor to improve task success from 24.2% to 46.7%.