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• Extracting Training Data from Large Language Models
  2020 · 275 citations
• A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music
  2018 · 259 citations
• Online and Linear-Time Attention by Enforcing Monotonic Alignments
  2017 · 198 citations
• Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer
  2018 · 64 citations
• Datadreamer: A Tool For Synthetic Data Generation And Reproducible LLM Workflows
  2024 · 57 citations
• Is Generator Conditioning Causally Related to GAN Performance?
  2018 · 50 citations
• Deduplicating Training Data Mitigates Privacy Risks in Language Models
  2022 · 46 citations
• Onsets and Frames: Dual-Objective Piano Transcription
  2017 · 43 citations
• Monotonic Chunkwise Attention
  2017 · 33 citations
• DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows
  2024 · 19 citations
• The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
  2024 · 5 citations
• Distributed Inference and Fine-tuning of Large Language Models Over The Internet
  2023 · 3 citations
• FineInstructions: Scaling Synthetic Instructions to Pre-Training Scale
  2026
• The Appeal and Reality of Recycling LoRAs with Adaptive Merging
  2026
• The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text
  2025