| INSPECT: Intrinsic and Systematic Probing Evaluation for Code Transformers | Dec 8, 2023 | Code CompletionDiagnostic | CodeCode Available | 0 |
| GREEN-CODE: Learning to Optimize Energy Efficiency in LLM-based Code Generation | Jan 19, 2025 | Bug fixingCode Completion | CodeCode Available | 0 |
| When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference | Jan 18, 2024 | Code CompletionDecision Making | CodeCode Available | 0 |
| CodeGRU: Context-aware Deep Learning with Gated Recurrent Unit for Source Code Modeling | Mar 3, 2019 | Code CompletionCode Generation | CodeCode Available | 0 |
| Structural Language Models of Code | Sep 30, 2019 | C++ codeCode Completion | CodeCode Available | 0 |
| GenCodeSearchNet: A Benchmark Test Suite for Evaluating Generalization in Programming Language Understanding | Nov 16, 2023 | Code CompletionCode Generation | CodeCode Available | 0 |
| Automating Code-Related Tasks Through Transformers: The Impact of Pre-training | Feb 8, 2023 | Bug fixingCode Completion | CodeCode Available | 0 |
| Code Completion with Neural Attention and Pointer Networks | Nov 27, 2017 | Code Completion | CodeCode Available | 0 |
| Can You Really Trust Code Copilots? Evaluating Large Language Models from a Code Security Perspective | May 15, 2025 | Code CompletionCode Generation | CodeCode Available | 0 |
| Enriching Source Code with Contextual Data for Code Completion Models: An Empirical Study | Apr 24, 2023 | Code Completion | CodeCode Available | 0 |