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Collections including paper arxiv:2309.05463
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Dec 15, 2024
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Jun 8, 2024
Jun 8, 2024-
Attention Is All You Need
Paper • 1706.03762 • Published • 104 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 18 -
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
Paper • 2305.13245 • Published • 6 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 247
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Apr 15, 2024
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Mar 11, 2024
Mar 11, 2024-
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models
Paper • 2402.13064 • Published • 50 -
Textbooks Are All You Need II: phi-1.5 technical report
Paper • 2309.05463 • Published • 88 -
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows
Paper • 2402.10379 • Published • 31 -
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
Paper • 2312.06585 • Published • 29
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Jul 11
Jul 11-
Textbooks Are All You Need
Paper • 2306.11644 • Published • 149 -
Textbooks Are All You Need II: phi-1.5 technical report
Paper • 2309.05463 • Published • 88 -
TinyStories: How Small Can Language Models Be and Still Speak Coherent English?
Paper • 2305.07759 • Published • 36 -
Scaling Synthetic Data Creation with 1,000,000,000 Personas
Paper • 2406.20094 • Published • 104
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May 1
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Mar 15, 2024
Mar 15, 2024Collection by
May 6, 2024
May 6, 2024-
Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code
Paper • 2311.07989 • Published • 26 -
SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
Paper • 2310.06770 • Published • 9 -
CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution
Paper • 2401.03065 • Published • 11 -
Copilot Evaluation Harness: Evaluating LLM-Guided Software Programming
Paper • 2402.14261 • Published • 11
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10 days ago
10 days agoCollection by
Jul 21
Jul 21Collection by
Dec 15, 2024
Dec 15, 2024Collection by
Jul 11
Jul 11-
Textbooks Are All You Need
Paper • 2306.11644 • Published • 149 -
Textbooks Are All You Need II: phi-1.5 technical report
Paper • 2309.05463 • Published • 88 -
TinyStories: How Small Can Language Models Be and Still Speak Coherent English?
Paper • 2305.07759 • Published • 36 -
Scaling Synthetic Data Creation with 1,000,000,000 Personas
Paper • 2406.20094 • Published • 104
Collection by
Jun 8, 2024
Jun 8, 2024-
Attention Is All You Need
Paper • 1706.03762 • Published • 104 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 18 -
GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints
Paper • 2305.13245 • Published • 6 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 247
Collection by
May 1
May 1Collection by
Apr 15, 2024
Apr 15, 2024Collection by
Mar 15, 2024
Mar 15, 2024Collection by
Mar 11, 2024
Mar 11, 2024-
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models
Paper • 2402.13064 • Published • 50 -
Textbooks Are All You Need II: phi-1.5 technical report
Paper • 2309.05463 • Published • 88 -
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows
Paper • 2402.10379 • Published • 31 -
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
Paper • 2312.06585 • Published • 29
Collection by
May 6, 2024
May 6, 2024-
Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code
Paper • 2311.07989 • Published • 26 -
SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
Paper • 2310.06770 • Published • 9 -
CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution
Paper • 2401.03065 • Published • 11 -
Copilot Evaluation Harness: Evaluating LLM-Guided Software Programming
Paper • 2402.14261 • Published • 11