code generation

Execution-based Evaluation for Data Science Code Generation Models EMNLP 2022 Fault-Aware Neural Code Rankers NeurIPS 2022 Few-Shot Semantic Parsing with Language Models Trained on Code NAACL 2022 Human perceiving behavior modeling in evaluation of code generation models EMNLP 2022 Improved Evaluation of Automatic Source Code Summarisation EMNLP 2022 Language Models of Code are Few-Shot Commonsense Learners EMNLP 2022 Less is More: Summary of Long Instructions is Better for Program Synthesis EMNLP 2022 Lyra: A Benchmark for Turducken-Style Code Generation IJCAI 2022 Natural Language to Code Translation with Execution EMNLP 2022 Open-ended Knowledge Tracing for Computer Science Education EMNLP 2022 PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance EMNLP 2022 RACE: Retrieval-augmented Commit Message Generation EMNLP 2022 SymForce: Symbolic Computation and Code Generation for Robotics RSS 2022 Synchromesh: Reliable Code Generation from Pre-trained Language Models ICLR 2022 The impact of lexical and grammatical processing on generating code from natural language ACL 2022 Transferring Knowledge from Structure-aware Self-attention Language Model to Sequence-to-Sequence Semantic Parsing COLING 2022 When Language Model Meets Private Library EMNLP 2022 APIRecX: Cross-Library API Recommendation via Pre-Trained Language Model EMNLP 2021 Break-It-Fix-It: Unsupervised Learning for Program Repair ICML 2021 Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data ACL 2021 CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation EMNLP 2021 Code to Comment Translation: A Comparative Study on Model Effectiveness & Errors ACL 2021 CommitBERT: Commit Message Generation Using Pre-Trained Programming Language Model ACL 2021 ConTest: A Unit Test Completion Benchmark featuring Context ACL 2021 CoTexT: Multi-task Learning with Code-Text Transformer ACL 2021