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Conditioning on character arcs boosts RPLA performance by over 40% in novel scenarios, revealing the critical role of psychological evolution in storytelling.
Robots often fail to adapt their actions to prioritize human values, making incorrect choices 80% of the time in value-conflicted scenarios.
A new spoken user simulator, SpokenUS, trained on a large-scale dataset, finally captures the messiness of real human conversation, including barge-ins and disfluencies, to better train dialogue agents.
