3 papers
cs.LG2025
Physical Reinforcement Learning
Sam Dillavou, Shruti Mishra
Digital computers are power-hungry and largely intolerant of damaged components, making them potentially difficult tools for energy-limited autonomous agents in uncertain environme…
cs.LG2025
Comparing the information content of probabilistic representation spaces
Kieran A. Murphy, Sam Dillavou, Dani S. Bassett
Probabilistic representation spaces convey information about a dataset and are shaped by factors such as the training data, network architecture, and loss function. Comparing the i…
cs.CL2024
Rel-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance
Kaitlyn Zhou, Jena D. Hwang, Xiang Ren +3
The ability to communicate uncertainty, risk, and limitation is crucial for the safety of large language models. However, current evaluations of these abilities rely on simple cali…