Synthetic Data Characterization via Training Dynamics

arXiv:2609.39447 · cs.CL, cs.LG · Submitted 2026-09-30 · Read on arXiv

cs.CL, cs.LG

Submitted: 2026-09-30

Updated: 2026-09-30

Code: https://github.com/irenelago/SynthTD

Terminology

• Synthetic Data Generation — 9× in this paper · explained in 5 episodes
• Robustness — 7× in this paper · explained in 5 episodes
• Wasserstein Distance — 7× in this paper · explained in 4 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Consistency — 5× in this paper · explained in 3 episodes
• Data Augmentation — 5× in this paper · explained in 7 episodes
• Empirical Methods in Natural Language Processing — 5× in this paper
• Distillation — 3× in this paper · explained in 2 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Generative Model — 3× in this paper · explained in 2 episodes
• Generative Models — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Data Pruning — 2× in this paper · explained in 2 episodes
• Generalization — 2× in this paper · explained in 13 episodes
• Pruning — 2× in this paper · explained in 4 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Active Learning — 1× in this paper · explained in 6 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Distribution Matching — 1× in this paper · explained in 2 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• European Regional Development Fund — 1× in this paper
• Fidelity — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• In-Context Learning — 1× in this paper · explained in 4 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Low-Resource Languages — 1× in this paper · explained in 4 episodes
• Pseudo-labeling — 1× in this paper · explained in 3 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Scaling Laws — 1× in this paper · explained in 4 episodes
• SemEval-2018 Task Emotion Classification — 1× in this paper
• Theoretical Guarantees — 1× in this paper · explained in 2 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Gemma 3 Technical Report
• The Llama 3 Herd of Models
• Textbooks Are All You Need
• The political ideology of conversational AI: Converging evidence on ChatGPT's pro-environmental, left-libertarian orientation
• RoBERTa: A Robustly Optimized BERT Pretraining Approach
• Orca: Progressive Learning from Complex Explanation Traces of GPT-4
• No Language Left Behind: Scaling Human-Centered Machine Translation
• Olmo 3
• Qwen3 Technical Report

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