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Collections including paper arxiv:2306.02707

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

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

Papers - Tokenizers - LLaMA Byte Pair Encoding (BPE)

Orca: Progressive Learning from Complex Explanation Traces of GPT-4

Paper • 2306.02707 • Published Jun 5, 2023 • 46

Papers - Prompts - Chain of Thought

Orca: Progressive Learning from Complex Explanation Traces of GPT-4

Paper • 2306.02707 • Published Jun 5, 2023 • 46
The Prompt Report: A Systematic Survey of Prompting Techniques

Paper • 2406.06608 • Published Jun 6 • 53

Papers - Prompts - System Chat

Orca: Progressive Learning from Complex Explanation Traces of GPT-4

Paper • 2306.02707 • Published Jun 5, 2023 • 46

Papers - Microsoft

Can large language models explore in-context?

Paper • 2403.15371 • Published Mar 22 • 32
GaussianCube: Structuring Gaussian Splatting using Optimal Transport for 3D Generative Modeling

Paper • 2403.19655 • Published Mar 28 • 18
WavLLM: Towards Robust and Adaptive Speech Large Language Model

Paper • 2404.00656 • Published Mar 31 • 10
Enabling Memory Safety of C Programs using LLMs

Paper • 2404.01096 • Published Apr 1 • 1

Papers - Prompt

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

Paper • 2403.12968 • Published Mar 19 • 24
Improving Text-to-Image Consistency via Automatic Prompt Optimization

Paper • 2403.17804 • Published Mar 26 • 16
The Unreasonable Effectiveness of Eccentric Automatic Prompts

Paper • 2402.10949 • Published Feb 9 • 3
Orca: Progressive Learning from Complex Explanation Traces of GPT-4

Paper • 2306.02707 • Published Jun 5, 2023 • 46

Papers - Reasoning

Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Paper • 2402.14848 • Published Feb 19 • 18
Teaching Large Language Models to Reason with Reinforcement Learning

Paper • 2403.04642 • Published Mar 7 • 46
How Far Are We from Intelligent Visual Deductive Reasoning?

Paper • 2403.04732 • Published Mar 7 • 18
Learning to Reason and Memorize with Self-Notes

Paper • 2305.00833 • Published May 1, 2023 • 4

Datasets: A Community Library for Natural Language Processing

Paper • 2109.02846 • Published Sep 7, 2021 • 8
berkeley-nest/Nectar

Viewer • Updated Mar 20 • 183k • 585 • 276
openbmb/UltraFeedback

Viewer • Updated Dec 29, 2023 • 64k • 1.7k • 333
BAAI/JudgeLM-100K

Preview • Updated Oct 27, 2023 • 67 • 42

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