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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/chengjunyan1/graph-sparse-transformer
공식 코드Graph Conditioned Sparse-Attention for Improved Source Code Understanding
https://github.com/google-research/google-research/tree/master/cubert
공식 코드https://github.com/google-research/google-research/tree/master/gfsa
공식 코드Learning Graph Structure With A Finite-State Automaton Layer
https://github.com/mdrafiqulrabin/CI-Memorization
공식 코드Memorization and Generalization in Neural Code Intelligence Models
https://github.com/mdrafiqulrabin/SIVAND
공식 코드Understanding Neural Code Intelligence Through Program Simplification
https://github.com/serjtroshin/probings4code
공식 코드https://github.com/stg-tud/code-llm-critical-evaluation
공식 코드https://github.com/uh-serg/ci-memorization
공식 코드Memorization and Generalization in Neural Code Intelligence Models
https://github.com/UH-SERG/SIVAND
Neural Program Repair by Jointly Learning to Localize and Repair
https://github.com/chengjunyan1/gn-transformer-ast
Graph Conditioned Sparse-Attention for Improved Source Code Understanding
https://github.com/google-research-datasets/eth_py150_open
https://github.com/mdrafiqulrabin/ci-dd-perses
Understanding Neural Code Intelligence Through Program Simplification
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.