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Collections including paper arxiv:2306.11644

Synthetic Data Generation

Textbooks Are All You Need

Paper • 2306.11644 • Published Jun 20, 2023 • 142
Textbooks Are All You Need II: phi-1.5 technical report

Paper • 2309.05463 • Published Sep 11, 2023 • 87
TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

Paper • 2305.07759 • Published May 12, 2023 • 33
Scaling Synthetic Data Creation with 1,000,000,000 Personas

Paper • 2406.20094 • Published Jun 28 • 94

Code Evaluation

Collection of Papers on Code Evaluation (from code generation language models)

A Survey on Language Models for Code

Paper • 2311.07989 • Published Nov 14, 2023 • 21
Evaluating Large Language Models Trained on Code

Paper • 2107.03374 • Published Jul 7, 2021 • 6
SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Paper • 2310.06770 • Published Oct 10, 2023 • 4
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Paper • 2102.04664 • Published Feb 9, 2021 • 1

Textbooks Are All You Need

Paper • 2306.11644 • Published Jun 20, 2023 • 142

SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding

Paper • 2408.15545 • Published Aug 28 • 34
Controllable Text Generation for Large Language Models: A Survey

Paper • 2408.12599 • Published Aug 22 • 62
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20 • 40
Automated Design of Agentic Systems

Paper • 2408.08435 • Published Aug 15 • 38

Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Paper • 2401.16380 • Published Jan 29 • 47
Best Practices and Lessons Learned on Synthetic Data for Language Models

Paper • 2404.07503 • Published Apr 11 • 29
WizardLM: Empowering Large Language Models to Follow Complex Instructions

Paper • 2304.12244 • Published Apr 24, 2023 • 13
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Paper • 2402.13064 • Published Feb 20 • 46

Textbooks Are All You Need

Paper • 2306.11644 • Published Jun 20, 2023 • 142

Textbooks Are All You Need

Paper • 2306.11644 • Published Jun 20, 2023 • 142
Running on Zero

458

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Llama 2 7B Chat

LLM foundations

Mixture-of-Depths: Dynamically allocating compute in transformer-based language models

Paper • 2404.02258 • Published Apr 2 • 104
Textbooks Are All You Need

Paper • 2306.11644 • Published Jun 20, 2023 • 142
Jamba: A Hybrid Transformer-Mamba Language Model

Paper • 2403.19887 • Published Mar 28 • 104
Large Language Models Struggle to Learn Long-Tail Knowledge

Paper • 2211.08411 • Published Nov 15, 2022 • 3

Dataset generation

Textbooks Are All You Need

Paper • 2306.11644 • Published Jun 20, 2023 • 142
Textbooks Are All You Need II: phi-1.5 technical report

Paper • 2309.05463 • Published Sep 11, 2023 • 87

Code LMs Evaluation

A Survey on Language Models for Code

Paper • 2311.07989 • Published Nov 14, 2023 • 21
SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Paper • 2310.06770 • Published Oct 10, 2023 • 4
CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution

Paper • 2401.03065 • Published Jan 5 • 10
Copilot Evaluation Harness: Evaluating LLM-Guided Software Programming

Paper • 2402.14261 • Published Feb 22 • 10

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