2 citations · 4 across the 5 of their papers we have counts for
4 papers
mrCAD: Multimodal Refinement of Computer-aided Designs
William P. McCarthy, Saujas Vaduguru, Karl D. D. Willis +4
A key feature of human collaboration is the ability to iteratively refine the concepts we have communicated. In contrast, while generative AI excels at the \textit{generation} of c…
Combining Induction and Transduction for Abstract Reasoning
Wen-Ding Li, Keya Hu, Carter Larsen +11
When learning an input-output mapping from very few examples, is it better to first infer a latent function that explains the examples, or is it better to directly predict new test…
Learning a Hierarchical Planner from Humans in Multiple Generations
Leonardo Hernandez Cano, Yewen Pu, Robert D. Hawkins +2
A typical way in which a machine acquires knowledge from humans is by programming. Compared to learning from demonstrations or experiences, programmatic learning allows the machine…
The Usability of Pragmatic Communication in Regular Expression Synthesis
Priyan Vaithilingam, Yewen Pu, Elena L. Glassman
Programming-by-example (PBE) systems aim to alleviate the burden of programming. However, user-specified examples are often ambiguous, leaving multiple programs to satisfy the spec…