2 papers
cs.CL2022
AbductionRules: Training Transformers to Explain Unexpected Inputs
Nathan Young, Qiming Bao, Joshua Bensemann +1
Transformers have recently been shown to be capable of reliably performing logical reasoning over facts and rules expressed in natural language, but abductive reasoning - inference…
cs.RO2018
Decentralized Control Systems Laboratory Using Human Centered Robotic Actuators
Binghan He, Kunye Chen, Rachel Schlossman +5
University laboratories deliver unique hands-on experimentation for STEM students but often lack state-of-the-art equipment and provide limited access to their equipment. The Unive…