Ecosyste.ms: Awesome
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awesome_codegeneration
A list of papers and resources dedicated to code generation
https://github.com/LIANGQINGYUAN/awesome_codegeneration
Last synced: 3 days ago
JSON representation
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Datasets
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Dataset for imperative programming language generation
- Latent Predictor Networks for Code Generation
- Learning to generate pseudo-code from source code using statistical machine translation
- Latent Predictor Networks for Code Generation
- Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow
- Mapping language to code in programmatic context
- Measuring coding challenge competence with apps
- Competition-Level Code Generation with AlphaCode
- Lyra: A Benchmark for Turducken-Style Code Generation
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Dataset for Text-to-SQL generation
- Learning a neural semantic parser from user feedback
- Evaluation of spoken language systems: The ATIS domain
- Learning to parse database queries using inductive logic programming
- Automated construction of database interfaces: Intergrating statistical and relational learning for semantic parsing
- Learning a neural semantic parser from user feedback
- Improving Text-to-SQL Evaluation Methodology
- Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning
- Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task
- A Pilot Study for Chinese SQL Semantic Parsing
- On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries
- Tableqa: a large-scale chinese text-to-sql dataset for table-aware sql generation
- DuSQL: A Large-Scale and Pragmatic Chinese Text-to-SQL Dataset
- KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers
- Sparc: Cross-domain semantic parsing in context
- CoSQL: A conversational text-to-SQL challenge towards cross-domain natural language interfaces to databases
- Chase: A Large-Scale and Pragmatic Chinese Dataset for Cross-Database Context-Dependent Text-to-SQL
- Constructing an interactive natural language interface for relational databases
- SQLizer: query synthesis from natural language
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Pretrained models
- Convolutional Neural Networks over Tree Structures for Programming Language Processing
- Towards a Big Data Curated Benchmark of Inter-project Code Clones
- Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree
- Convolutional Neural Networks over Tree Structures for Programming Language Processing
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Techniques
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Code representation
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Generation architectures
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Pretrained models
- CodeBERT: A Pre-Trained Model for Programming and Natural Languages
- GraphCodeBERT: Pre-training Code Representations with Data Flow
- CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
- CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
- Unified Pre-training for Program Understanding and Generation
- PANGU-CODER: Program Synthesis with Function-Level Language Modeling
- CoditT5: Pretraining for Source Code and Natural Language Editing
- Evaluating large language models trained on code
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Variable representation
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Code and comment
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Understanding with GNNs
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Understanding with pre-trained models
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Tools
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Pretrained models
- Captain Stack
- Copilot - time, right from your editor.
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Programming Languages
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