AutoMathText: Autonomous Data Selection with Language Models for Mathematical Texts
Paper
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2402.07625
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Published
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16
Training data
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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 • 50 -
TnT-LLM: Text Mining at Scale with Large Language Models
Paper • 2403.12173 • Published • 20 -
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows
Paper • 2402.10379 • Published • 31 -
OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
Paper • 2402.10176 • Published • 38 -
CoLoR-Filter: Conditional Loss Reduction Filtering for Targeted Language Model Pre-training
Paper • 2406.10670 • Published • 4 -
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models
Paper • 2408.02085 • Published • 19 -
PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment
Paper • 2410.13785 • Published • 19 -
Evaluating Sample Utility for Data Selection by Mimicking Model Weights
Paper • 2501.06708 • Published • 5