← authors · overview

• A Syntactic Neural Model for General-Purpose Code Generation
  2017 · 535 citations
• A Systematic Evaluation of Large Language Models of Code
  2022 · 498 citations
• DyNet: The Dynamic Neural Network Toolkit
  2017 · 345 citations
• Learning to Mine Aligned Code and Natural Language Pairs from Stack Overflow
  2018 · 202 citations
• TRANX: A Transition-based Neural Abstract Syntax Parser for Semantic Parsing and Code Generation
  2018 · 201 citations
• Language Models of Code are Few-Shot Commonsense Learners
  2022 · 106 citations
• PAL: Program-aided Language Models
  2022 · 104 citations
• Retrieval-Based Neural Code Generation
  2018 · 91 citations
• DIRE: A Neural Approach to Decompiled Identifier Naming
  2019 · 82 citations
• CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code
  2023 · 79 citations
• Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models
  2024 · 40 citations
• Learning to Generate Corrective Patches using Neural Machine Translation
  2018 · 37 citations
• Learning Performance-Improving Code Edits
  2023 · 24 citations
• DocPrompting: Generating Code by Retrieving the Docs
  2022 · 19 citations
• In-IDE Code Generation from Natural Language: Promise and Challenges
  2021 · 11 citations