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Discover the best community collections!

Collections including paper arxiv:2402.13064

KAN or MLP: A Fairer Comparison

Paper • 2407.16674 • Published Jul 23 • 41
MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Paper • 2403.02884 • Published Mar 5 • 15
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Paper • 2402.13064 • Published Feb 20 • 46
DPTDR: Deep Prompt Tuning for Dense Passage Retrieval

Paper • 2208.11503 • Published Aug 24, 2022

Best Practices and Lessons Learned on Synthetic Data for Language Models

Paper • 2404.07503 • Published Apr 11 • 29
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences

Paper • 2404.03715 • Published Apr 4 • 59
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Paper • 2406.08464 • Published Jun 12 • 61
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Paper • 2402.13064 • Published Feb 20 • 46

Synthetic Data generation

DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows

Paper • 2402.10379 • Published Feb 16 • 29
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Paper • 2402.13064 • Published Feb 20 • 46

DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data

Paper • 2405.14333 • Published May 23 • 32
Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach

Paper • 2405.15613 • Published May 24 • 13
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows

Paper • 2402.10379 • Published Feb 16 • 29
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Paper • 2402.13064 • Published Feb 20 • 46

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

Paper • 2401.16380 • Published Jan 29 • 46
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

Jamba: A Hybrid Transformer-Mamba Language Model

Paper • 2403.19887 • Published Mar 28 • 103
sDPO: Don't Use Your Data All at Once

Paper • 2403.19270 • Published Mar 28 • 38
ViTAR: Vision Transformer with Any Resolution

Paper • 2403.18361 • Published Mar 27 • 51
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Paper • 2403.18814 • Published Mar 27 • 44

LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement

Paper • 2403.15042 • Published Mar 22 • 24
Design2Code: How Far Are We From Automating Front-End Engineering?

Paper • 2403.03163 • Published Mar 5 • 93
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement

Paper • 2402.07456 • Published Feb 12 • 40
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Paper • 2402.13064 • Published Feb 20 • 46

Synthetic Data Generation

A curated list of papers focusing on synthetic data generation

Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Paper • 2402.13064 • Published Feb 20 • 46
Textbooks Are All You Need II: phi-1.5 technical report

Paper • 2309.05463 • Published Sep 11, 2023 • 86
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows

Paper • 2402.10379 • Published Feb 16 • 29
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models

Paper • 2312.06585 • Published Dec 11, 2023 • 28

ibm/AttaQ

Viewer • Updated Jan 26 • 1.4k • 1.2k • 10
snorkelai/snorkel-curated-instruction-tuning

Preview • Updated Mar 11 • 2 • 9
corbyrosset/researchy_questions

Viewer • Updated Feb 29 • 96.4k • 56 • 24
argilla/ultrafeedback-binarized-preferences

Viewer • Updated Nov 30, 2023 • 63.6k • 647 • 64

LLM to annotate Dataset

https://github.com/Zhen-Tan-dmml/LLM4Annotation

Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Paper • 2402.13064 • Published Feb 20 • 46
Large Language Models for Data Annotation: A Survey

Paper • 2402.13446 • Published Feb 21
AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators

Paper • 2303.16854 • Published Mar 29, 2023 • 1
Open-Source Large Language Models Outperform Crowd Workers and Approach ChatGPT in Text-Annotation Tasks

Paper • 2307.02179 • Published Jul 5, 2023 • 7

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