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Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI
Paper • 2505.19443 • Published • 15 -
Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs
Paper • 2506.19290 • Published • 52 -
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
Paper • 2105.12655 • Published -
StarCoder 2 and The Stack v2: The Next Generation
Paper • 2402.19173 • Published • 151
Collections
Discover the best community collections!
Collections including paper arxiv:2308.07124
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Creative Robot Tool Use with Large Language Models
Paper • 2310.13065 • Published • 9 -
CodeCoT and Beyond: Learning to Program and Test like a Developer
Paper • 2308.08784 • Published • 5 -
Lemur: Harmonizing Natural Language and Code for Language Agents
Paper • 2310.06830 • Published • 34 -
CodePlan: Repository-level Coding using LLMs and Planning
Paper • 2309.12499 • Published • 79
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Attention Is All You Need
Paper • 1706.03762 • Published • 105 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 24 -
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Paper • 1907.11692 • Published • 9 -
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Paper • 1910.01108 • Published • 21
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Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation
Paper • 2310.18628 • Published • 8 -
ChatCoder: Chat-based Refine Requirement Improves LLMs' Code Generation
Paper • 2311.00272 • Published • 11 -
Magicoder: Source Code Is All You Need
Paper • 2312.02120 • Published • 82 -
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator
Paper • 2312.04474 • Published • 33
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Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs
Paper • 2310.13961 • Published • 5 -
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
Paper • 2309.09582 • Published • 4 -
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models
Paper • 2310.13127 • Published • 12 -
Evaluating the Robustness to Instructions of Large Language Models
Paper • 2308.14306 • Published • 1
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Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI
Paper • 2505.19443 • Published • 15 -
Skywork-SWE: Unveiling Data Scaling Laws for Software Engineering in LLMs
Paper • 2506.19290 • Published • 52 -
CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
Paper • 2105.12655 • Published -
StarCoder 2 and The Stack v2: The Next Generation
Paper • 2402.19173 • Published • 151
-
Attention Is All You Need
Paper • 1706.03762 • Published • 105 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 24 -
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Paper • 1907.11692 • Published • 9 -
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Paper • 1910.01108 • Published • 21
-
Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation
Paper • 2310.18628 • Published • 8 -
ChatCoder: Chat-based Refine Requirement Improves LLMs' Code Generation
Paper • 2311.00272 • Published • 11 -
Magicoder: Source Code Is All You Need
Paper • 2312.02120 • Published • 82 -
Chain of Code: Reasoning with a Language Model-Augmented Code Emulator
Paper • 2312.04474 • Published • 33
-
Creative Robot Tool Use with Large Language Models
Paper • 2310.13065 • Published • 9 -
CodeCoT and Beyond: Learning to Program and Test like a Developer
Paper • 2308.08784 • Published • 5 -
Lemur: Harmonizing Natural Language and Code for Language Agents
Paper • 2310.06830 • Published • 34 -
CodePlan: Repository-level Coding using LLMs and Planning
Paper • 2309.12499 • Published • 79
-
Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs
Paper • 2310.13961 • Published • 5 -
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
Paper • 2309.09582 • Published • 4 -
Auto-Instruct: Automatic Instruction Generation and Ranking for Black-Box Language Models
Paper • 2310.13127 • Published • 12 -
Evaluating the Robustness to Instructions of Large Language Models
Paper • 2308.14306 • Published • 1