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Discover the best community collections!

Collections including paper arxiv:2402.05123

A Survey on Data Selection for LLM Instruction Tuning

Paper • 2402.05123 • Published Feb 4, 2024 • 3
Data-Juicer Sandbox: A Comprehensive Suite for Multimodal Data-Model Co-development

Paper • 2407.11784 • Published Jul 16, 2024 • 4
Data Management For Large Language Models: A Survey

Paper • 2312.01700 • Published Dec 4, 2023
Datasets for Large Language Models: A Comprehensive Survey

Paper • 2402.18041 • Published Feb 28, 2024 • 2

How to Train Data-Efficient LLMs

Paper • 2402.09668 • Published Feb 15, 2024 • 41
A Survey on Data Selection for LLM Instruction Tuning

Paper • 2402.05123 • Published Feb 4, 2024 • 3

Instruction Tuning

A Survey on Data Selection for LLM Instruction Tuning

Paper • 2402.05123 • Published Feb 4, 2024 • 3
WaveCoder: Widespread And Versatile Enhanced Instruction Tuning with Refined Data Generation

Paper • 2312.14187 • Published Dec 20, 2023 • 49
Generative Representational Instruction Tuning

Paper • 2402.09906 • Published Feb 15, 2024 • 54
Instruction-tuned Language Models are Better Knowledge Learners

Paper • 2402.12847 • Published Feb 20, 2024 • 26

Data-efficient LLMs

dataset pruning for advancing the capabilities of LLMs

Effective pruning of web-scale datasets based on complexity of concept clusters

Paper • 2401.04578 • Published Jan 9, 2024
How to Train Data-Efficient LLMs

Paper • 2402.09668 • Published Feb 15, 2024 • 41
A Survey on Data Selection for LLM Instruction Tuning

Paper • 2402.05123 • Published Feb 4, 2024 • 3
LESS: Selecting Influential Data for Targeted Instruction Tuning

Paper • 2402.04333 • Published Feb 6, 2024 • 3

PockEngine: Sparse and Efficient Fine-tuning in a Pocket

Paper • 2310.17752 • Published Oct 26, 2023 • 12
S-LoRA: Serving Thousands of Concurrent LoRA Adapters

Paper • 2311.03285 • Published Nov 6, 2023 • 28
Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization

Paper • 2311.06243 • Published Nov 10, 2023 • 17
Fine-tuning Language Models for Factuality

Paper • 2311.08401 • Published Nov 14, 2023 • 28

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