Code Generation
توليد الشيفرات
مهمة توليد شيفرات برمجية تعمل تلقائياً من وصف بلغة طبيعية أو من مواصفات أخرى، بحيث تجتاز الشيفرة الناتجة اختبارات الصحة الوظيفية.
The task of automatically producing functional source code from natural language descriptions or other specifications, such that the generated code passes functional correctness tests.
Also translated asتوليد الكود، توليد البرمجيات
First appears in this corpus in: Evaluating Large Language Models Trained on Code (2021)
Appears in these papers
- Evaluating Large Language Models Trained on Code2021in the sky ✦
- Evaluating Large Language Models Trained on Code2021in the sky ✦
- The Llama 3 Herd of Models2024in the sky ✦
- PaLM: Scaling Language Modeling with Pathways2022in the sky ✦
- Textbooks Are All You Need2023in the sky ✦
- Reflexion: Language Agents with Verbal Reinforcement Learning2023in the sky ✦
- Self-Instruct: Aligning Language Models with Self-Generated Instructions2022in the sky ✦
- Sparks of Artificial General Intelligence: Early Experiments with GPT-42023in the sky ✦
- Sparks of Artificial General Intelligence: Early Experiments with GPT-42023in the sky ✦
- SWE-bench: Can Language Models Resolve Real-World GitHub Issues?2024in the sky ✦
- SWE-bench: Can Language Models Resolve Real-World GitHub Issues?2024in the sky ✦
- Voyager: An Open-Ended Embodied Agent with Large Language Models2023in the sky ✦