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mdouglas 's Collections
Datasets: NeurIPS LLM Challenge 2023
Papers
Papers: GEC/Revision
Papers: Instruct
Papers: MoE/Ensemble
Papers: PEFT
Papers: Evaluation
Papers: Models
Papers: Quantization
Papers: Pruning
Papers: LLM as a Judge
Reading List
llm.c

Papers: Pruning

updated Apr 10, 2024
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  • LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery

    Paper • 2310.18356 • Published Oct 24, 2023 • 24

  • LoRAPrune: Pruning Meets Low-Rank Parameter-Efficient Fine-Tuning

    Paper • 2305.18403 • Published May 28, 2023 • 2

  • Parameter-Efficient Fine-Tuning with Layer Pruning on Free-Text Sequence-to-Sequence Modeling

    Paper • 2305.08285 • Published May 15, 2023 • 1

  • A Comparative Analysis of Task-Agnostic Distillation Methods for Compressing Transformer Language Models

    Paper • 2310.08797 • Published Oct 13, 2023 • 1
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