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Found 2 papers, 1 papers with code
LLMs achieve adult human performance on higher-order theory of mind tasks
This paper builds on prior work by introducing a handwritten test suite -- Multi-Order Theory of Mind Q&A -- and using it to compare the performance of five LLMs to a newly gathered adult human benchmark.
Active Learning of Inverse Models with Intrinsically Motivated Goal Exploration in Robots
The architecture makes the robot sample actively novel parameterized tasks in the task space, based on a measure of competence progress, each of which triggers low-level goal-directed learning of the motor policy pa- rameters that allow to solve it.
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