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Our results show that agents can both act competently and morally, so concrete progress can currently be made
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In this paper, we collect and release a dataset for identifying deceptive actors through the game of Mafia, as well as train models to identify such…
Language models are multilingual chain-of-thought reasoners.
Stanford News /
We present a framework for building interactive, real-time, natural language-instructable robots in the real world.
My research goal is to design algorithms that can enable agents to continuously interact, learn, and perform complex tasks in their environments.
Seemingly simple natural language requests to a robot are generally underspecified, for example “Can you bring me the wireless mouse?” When viewing m…