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Program Synthesis

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크
5
평가표
3
보존된 평가 기록
5

Program synthesis is the process of automatically generating a program or code snippet that satisfies a given specification or set of requirements. This can include generating code from a formal specification, a natural language description, or example inputs and outputs. The primary goal of program synthesis is to minimize human intervention in the coding process, reduce errors, and improve productivity.

Program synthesis often involves the use of advanced algorithms, artificial intelligence, and machine learning techniques to search the space of possible programs that meet the given constraints. This process can be guided by a variety of techniques, such as constraint solving, symbolic execution, and genetic algorithms.

평가 결과

데이터셋과 평가 조건을 선택해 성능·논문·코드를 비교하세요. 보존된 Papers with Code 기록으로, 최신 순위는 아닙니다.

DeepFix

원본 태스크: Program Synthesis / Program Repair

평가 기록 4건

GitHub-Python

원본 태스크: Program Synthesis / Program Repair

평가 기록 2건

SPoC TestP

원본 태스크: Program Synthesis

평가 기록 2건

SPoC TestW

원본 태스크: Program Synthesis

평가 기록 2건

AlgoLisp

원본 태스크: Program Synthesis

평가 기록 1건

DeepTyper

원본 태스크: Program Synthesis / Type prediction

평가 기록 1건

HumanEvalPack

원본 태스크: Program Synthesis / Program Repair

평가 기록 1건

Py150

원본 태스크: Program Synthesis / Type prediction

평가 기록 1건

Py150

원본 태스크: Program Synthesis / Value prediction

평가 기록 1건

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