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A Survey on Language Models for Code
Paper • 2311.07989 • Published • 20 -
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Paper • 2102.04664 • Published • 2 -
Evaluating Large Language Models Trained on Code
Paper • 2107.03374 • Published • 6 -
Out of the BLEU: how should we assess quality of the Code Generation models?
Paper • 2208.03133 • Published • 2
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Collections including paper arxiv:2306.11644
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A Survey on Language Models for Code
Paper • 2311.07989 • Published • 20 -
SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
Paper • 2310.06770 • Published • 3 -
CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution
Paper • 2401.03065 • Published • 10 -
Copilot Evaluation Harness: Evaluating LLM-Guided Software Programming
Paper • 2402.14261 • Published • 10
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Nemotron-4 15B Technical Report
Paper • 2402.16819 • Published • 40 -
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 48 -
RWKV: Reinventing RNNs for the Transformer Era
Paper • 2305.13048 • Published • 10 -
Reformer: The Efficient Transformer
Paper • 2001.04451 • Published
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Visual In-Context Prompting
Paper • 2311.13601 • Published • 14 -
Textbooks Are All You Need
Paper • 2306.11644 • Published • 137 -
AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Paper • 2308.08155 • Published • 2 -
LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models
Paper • 2303.02927 • Published • 3
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Textbooks Are All You Need
Paper • 2306.11644 • Published • 137 -
LLaVA-φ: Efficient Multi-Modal Assistant with Small Language Model
Paper • 2401.02330 • Published • 11 -
Textbooks Are All You Need II: phi-1.5 technical report
Paper • 2309.05463 • Published • 84 -
Visual Instruction Tuning
Paper • 2304.08485 • Published • 8