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Found 6 papers, 2 papers with code
Show, Don't Tell: Learning Reward Machines from Demonstrations for Reinforcement Learning-Based Cardiac Pacemaker Synthesis
Therefore, we explore the possibility of learning correctness specifications from such labeled demonstrations in the form of a reward machine and training an RL agent to synthesize a cardiac pacemaker based on the resulting reward machine.
All Entities are Not Created Equal: Examining the Long Tail for Fine-Grained Entity Typing
Pre-trained language models (PLMs) are trained on large amounts of data, which helps capture world knowledge alongside linguistic competence.
Studying the Effects of Collaboration in Interactive Theme Discovery Systems
NLP-assisted solutions have gained considerable traction to support qualitative data analysis.
On the Potential and Limitations of Few-Shot In-Context Learning to Generate Metamorphic Specifications for Tax Preparation Software
Due to the ever-increasing complexity of income tax laws in the United States, the number of US taxpayers filing their taxes using tax preparation software (henceforth, tax software) continues to increase.
System Demo: Tool and Infrastructure for Offensive Language Error Analysis (OLEA) in English
The automatic detection of offensive language is a pressing societal need.
Discourse Analysis via Questions and Answers: Parsing Dependency Structures of Questions Under Discussion
Human evaluation results show that QUD dependency parsing is possible for language models trained with this crowdsourced, generalizable annotation scheme.
