Research
Award-Winning Researcher Trains Robots to Make Educated Guesses
University of Virginia researcher Yen-Ling Kuo received IEEE's inaugural Outstanding Women in Robotics award for developing methods that help robots better estimate uncertainty in unfamiliar situations. Her Diff-DAgger approach improved robot failure prediction by 39% and task completion by 20%, potentially reducing the need for constant human supervision.
Read full story at IEEE Spectrum →V: · A: · D:
Related
Research
Nothing from Something: Can a Language Model Discover 0?
This arxiv paper uses the concept of zero as a test case for whether language models can engage in genuine mathematical ...
Research
Relational Structural Causal Models
Researchers have extended Pearl's structural causal models to settings where objects and their relations vary, addressin...
Research
A Definition of Good Explanations and the Challenges Explaining LLM Outputs
This arxiv paper proposes a formal definition of what constitutes a good explanation, drawing on counterfactual reasonin...