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Collections including paper arxiv:2402.10379
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Apr 12
Apr 12
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DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows
Paper • 2402.10379 • Published • 29 -
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping
Paper • 1709.07857 • Published • 2 -
Simple synthetic data reduces sycophancy in large language models
Paper • 2308.03958 • Published • 21 -
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities
Paper • 2308.12966 • Published • 6
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Jun 27
Jun 27
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Effective pruning of web-scale datasets based on complexity of concept clusters
Paper • 2401.04578 • Published -
How to Train Data-Efficient LLMs
Paper • 2402.09668 • Published • 38 -
A Survey on Data Selection for LLM Instruction Tuning
Paper • 2402.05123 • Published • 3 -
LESS: Selecting Influential Data for Targeted Instruction Tuning
Paper • 2402.04333 • Published • 3
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Aug 6
Aug 6
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AutoMathText: Autonomous Data Selection with Language Models for Mathematical Texts
Paper • 2402.07625 • Published • 11 -
Rethinking Data Selection for Supervised Fine-Tuning
Paper • 2402.06094 • Published • 1 -
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models
Paper • 2402.13064 • Published • 46 -
TnT-LLM: Text Mining at Scale with Large Language Models
Paper • 2403.12173 • Published • 19