natural language to code

Learning from Near-Misses: Error-Aware Contrastive Few-Shot Learning for NL2Formula ACL 2026 FLOW-BENCH: Towards Conversational Generation of Enterprise Workflows EMNLP 2025 JU_NLP at BLP-2025 Task 2: Leveraging Zero-Shot Prompting for Bangla Natural Language to Python Code Generation AACL 2025 Musafir at BLP_2025 Task 2: Generating Python Code from Bangla Prompts using a Multi Model Cascade and Unit Test Validation AACL 2025 PyBangla at BLP-2025 Task 2: Enhancing Bangla-to-Python Code Generation with Iterative Self-Correction and Multilingual Agents AACL 2025 Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective ACL 2024 StudentEval: A Benchmark of Student-Written Prompts for Large Language Models of Code ACL 2024 CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code EMNLP 2023 DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation ICML 2023 Execution-Based Evaluation for Open-Domain Code Generation EMNLP 2023 Large Language Models Meet NL2Code: A Survey ACL 2023 MCoNaLa: A Benchmark for Code Generation from Multiple Natural Languages EACL 2023 Multitask Pretraining with Structured Knowledge for Text-to-SQL Generation ACL 2023 TSTR: Target Similarity Tuning Meets the Real World EMNLP 2023 C3PO: A Lightweight Copying Mechanism for Translating Pseudocode to Code AACL 2022 The impact of lexical and grammatical processing on generating code from natural language ACL 2022 Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data ACL 2021 PlotCoder: Hierarchical Decoding for Synthesizing Visualization Code in Programmatic Context ACL 2021 Incorporating External Knowledge through Pre-training for Natural Language to Code Generation ACL 2020 Polyglot Semantic Parsing in APIs NAACL 2018 Learning Semantic Correspondences in Technical Documentation ACL 2017