Papers with synthesizing computer programs

1 papers
kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning (2024.naacl-long)

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Challenge: Recent advances in task-oriented parsing involve formulating the task as a sequence-to-sequence problem, relying on a wealth of labeled data.
Approach: They propose a task-oriented parsing framework that integrates nearest-neighbor learning with a nearest-nearest approach.
Outcome: The proposed model can be used to synthesize computer programs based on a natural-language prompt without additional data or specialized prompts.

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