https://github.com/shangqing-liu/graphsearchnet
공식 코드GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search
Papers with Code 아카이브
Source Code Summarization
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 9
- 보존된 평가 기록
- 11
Code Summarization is a task that tries to comprehend code and automatically generate descriptions directly from the source code.
Source: Improving Automatic Source Code Summarization via Deep Reinforcement Learning
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/shrivastava-piyush/nlp-code-summarization
공식 코드https://github.com/sleepyhead01/vulnurable-code-entities-r-analysis
공식 코드https://github.com/tech-srl/code2seq
공식 코드code2seq: Generating Sequences from Structured Representations of Code
https://github.com/tongye98/sourcecodesummary
공식 코드Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization
https://github.com/transms/m2ts
공식 코드M2TS: Multi-Scale Multi-Modal Approach Based on Transformer for Source Code Summarization
https://github.com/uh-serg/ci-memorization
공식 코드Memorization and Generalization in Neural Code Intelligence Models
https://github.com/wasiahmad/NeuralCodeSum
공식 코드https://github.com/wasiahmad/PLBART
공식 코드Unified Pre-training for Program Understanding and Generation
https://github.com/wssun/eacs
공식 코드An Extractive-and-Abstractive Framework for Source Code Summarization
https://github.com/wssun/llm4codesummarization
공식 코드Source Code Summarization in the Era of Large Language Models
https://github.com/wssun/promptcs
공식 코드https://github.com/Attn-to-FC/Attn-to-FC
code2seq: Generating Sequences from Structured Representations of Code
https://github.com/CGCL-codes/naturalcc
https://github.com/CoderPat/OpenGNN
https://github.com/ICSEG/M2TS
https://github.com/MaratSaidov/source-code-summarization
https://github.com/YUEXIUG/M2TS
https://github.com/Zhangxq-1/coderepository
https://github.com/acleclair/ICPC2020_GNN
https://github.com/apcl-research/jam
https://github.com/ciselab/lampion
Embedding Java Classes with code2vec: Improvements from Variable Obfuscation
https://github.com/code-desc/codesc
https://github.com/code-gen/cgcs
https://github.com/hukuda222/code2seq
code2seq: Generating Sequences from Structured Representations of Code
https://github.com/jadecxliu/codeqa
https://github.com/liubest/HAConvGNN
https://github.com/lucy66666/okt
https://github.com/m3yrin/code2seq
code2seq: Generating Sequences from Structured Representations of Code
https://github.com/mf1832146/tree-transformer
Improving Automatic Source Code Summarization via Deep Reinforcement Learning
https://github.com/mf1832146/tree_transformer_2.0
Improving Automatic Source Code Summarization via Deep Reinforcement Learning
https://github.com/microsoft/ptgnn
https://github.com/sjj0403/Datasets-for-code-summarization-evaluation
https://github.com/sjj0403/GSCS
https://github.com/superli3/CYRMPR
code2seq: Generating Sequences from Structured Representations of Code
https://github.com/superli3/codenavi
code2seq: Generating Sequences from Structured Representations of Code
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.