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Collections including paper arxiv:2404.14361

Synthetic Data papers

Papers and important approraches for generation of synthetic data

AgentInstruct: Toward Generative Teaching with Agentic Flows

Paper • 2407.03502 • Published Jul 3, 2024 • 51
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Paper • 2406.08464 • Published Jun 12, 2024 • 66
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Paper • 2404.14219 • Published Apr 22, 2024 • 256
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows

Paper • 2402.10379 • Published Feb 16, 2024 • 31

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, 2024 • 97

Synthetic (text) Dataset Generation

Papers about synthetic dataset generation

Better Synthetic Data by Retrieving and Transforming Existing Datasets

Paper • 2404.14361 • Published Apr 22, 2024 • 2
Generative AI for Synthetic Data Generation: Methods, Challenges and the Future

Paper • 2403.04190 • Published Mar 7, 2024
Best Practices and Lessons Learned on Synthetic Data for Language Models

Paper • 2404.07503 • Published Apr 11, 2024 • 30
A Multi-Faceted Evaluation Framework for Assessing Synthetic Data Generated by Large Language Models

Paper • 2404.14445 • Published Apr 20, 2024

Best Practices and Lessons Learned on Synthetic Data for Language Models

Paper • 2404.07503 • Published Apr 11, 2024 • 30
Better Synthetic Data by Retrieving and Transforming Existing Datasets

Paper • 2404.14361 • Published Apr 22, 2024 • 2
Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources

Paper • 2409.08239 • Published Sep 12, 2024 • 17

LLM-SyntheticData

Best Practices and Lessons Learned on Synthetic Data for Language Models

Paper • 2404.07503 • Published Apr 11, 2024 • 30
Better Synthetic Data by Retrieving and Transforming Existing Datasets

Paper • 2404.14361 • Published Apr 22, 2024 • 2

Dataset curation

From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning

Paper • 2308.12032 • Published Aug 23, 2023 • 1
Know thy corpus! Robust methods for digital curation of Web corpora

Paper • 2003.06389 • Published Mar 13, 2020 • 1
Self-Alignment with Instruction Backtranslation

Paper • 2308.06259 • Published Aug 11, 2023 • 42
The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and Generation

Paper • 2305.06156 • Published May 9, 2023 • 2

Dataset generation

Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs

Paper • 2310.13961 • Published Oct 21, 2023 • 5
ZeroGen: Efficient Zero-shot Learning via Dataset Generation

Paper • 2202.07922 • Published Feb 16, 2022 • 1
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models

Paper • 2310.13671 • Published Oct 20, 2023 • 19
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs

Paper • 2309.09582 • Published Sep 18, 2023 • 4

KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval

Paper • 2310.15511 • Published Oct 24, 2023 • 5
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search

Paper • 2310.13227 • Published Oct 20, 2023 • 13
Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning

Paper • 2310.04474 • Published Oct 6, 2023 • 2
AgentTuning: Enabling Generalized Agent Abilities for LLMs

Paper • 2310.12823 • Published Oct 19, 2023 • 35

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