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• Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information
  2019
• Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation
  2020
• CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade
  2020
• Knowledge Inheritance for Pre-trained Language Models
  2021
• On Transferability of Prompt Tuning for Natural Language Processing
  2021
• Exploring Mode Connectivity for Pre-trained Language Models
  2022
• Decouple knowledge from parameters for plug-and-play language modeling
  2023
• Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning
  2023
• UltraFeedback: Boosting Language Models with Scaled AI Feedback
  2023
• Variator: Accelerating Pre-trained Models with Plug-and-Play Compression Modules
  2023