AINeutralarXiv – CS AI · 6h ago6/10
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A Behavioural and Representational Evaluation of Goal-Directedness in Language Model Agents
Researchers propose a novel framework combining behavioral and interpretability analyses to evaluate goal-directedness in language model agents. Testing an LLM navigating a 2D grid world, they find the model encodes spatial representations and multi-step plans internally while maintaining robust performance across varying task difficulties, revealing that introspective examination is necessary to fully understand how AI systems represent and pursue objectives.