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1. Fine-tune-with-Few-Samples Fine-tune-with-Few-Samples Public

   Official Code of "How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation" (ICML Workshop 2022)

   Python 3

2. jongwooko/NASH-Pruning-Official jongwooko/NASH-Pruning-Official Public

   About Code for the paper "NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models" (EMNLP 2023 Findings)

   Python 12

3. EvolvingQA_benchmark EvolvingQA_benchmark Public

   Code and Dataset release of "Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models" (NAACL 2024)

   Python 9