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PQSG reveals that state-of-the-art video generation models often misrepresent physical laws, with significant implications for the realism of generated content.
HiViG outperforms existing critics by integrating historical context and visual grounding, achieving up to 9% higher success rates in complex GUI tasks.
Even with ToM prompting, today's LLMs can be easily fooled in simple privacy games, but RL-trained "double agents" learn to effectively mislead attackers by modeling their beliefs.
LLMs can learn to solve previously intractable reasoning problems by training on adaptively-reformulated, cognitively simpler versions of the same tasks.
