Overcoming the Expressivity-Efficiency Tradeoff in Program Induction

People are incredibly flexible and efficient inductive reasoners. On the other hand, current approaches in program synthesis show strong domain-specific performance, but are both less sample-efficient and less flexible. Large language models improve upon this sample-efficiency and domain-generality,...

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Bibliographic Details
Main Author: Acquaviva, Samuel
Other Authors: Pu, Yewen
Format: Thesis
Published: Massachusetts Institute of Technology 2024
Online Access:https://hdl.handle.net/1721.1/156932

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