huawei-noah / Efficient-NLPLinks
☆95Updated last year
Alternatives and similar repositories for Efficient-NLP
Users that are interested in Efficient-NLP are comparing it to the libraries listed below
Sorting:
- This is the implementation of the paper AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning (https://arxiv.org/abs/2205.1…☆136Updated 2 years ago
- Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models☆143Updated 3 years ago
- ☆130Updated 3 years ago
- This PyTorch package implements MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation (NAACL 2022).☆112Updated 3 years ago
- Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023☆138Updated last year
- [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…☆56Updated 2 years ago
- The original Backpack Language Model implementation, a fork of FlashAttention☆69Updated 2 years ago
- [AAAI 2024] Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following☆78Updated last year
- On Transferability of Prompt Tuning for Natural Language Processing☆100Updated last year
- ☆142Updated last year
- Retrieval as Attention☆82Updated 2 years ago
- Adding new tasks to T0 without catastrophic forgetting☆33Updated 3 years ago
- Interpretable unified language safety checking with large language models☆31Updated 2 years ago
- DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization (ACL 2022)☆50Updated 2 years ago
- Code for paper "UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning", ACL 2022☆63Updated 3 years ago
- AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning (Zhou et al.; TACL 2024)☆50Updated last year
- One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning☆40Updated 2 years ago
- Transformers at any scale☆42Updated last year
- [ICLR 2023] "Learning to Grow Pretrained Models for Efficient Transformer Training" by Peihao Wang, Rameswar Panda, Lucas Torroba Hennige…☆92Updated last year
- Code release for Dataless Knowledge Fusion by Merging Weights of Language Models (https://openreview.net/forum?id=FCnohuR6AnM)☆92Updated 2 years ago
- [ICLR 2024] CLEX: Continuous Length Extrapolation for Large Language Models☆78Updated last year
- Code for ACL2023 paper: Pre-Training to Learn in Context☆106Updated last year
- [ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"☆99Updated last year
- [NeurIPS 2023 Main Track] This is the repository for the paper titled "Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Lea…☆76Updated last year
- [NAACL 2025] A Closer Look into Mixture-of-Experts in Large Language Models☆55Updated 10 months ago
- Code Implementation for "NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models" (EMNLP …☆16Updated 2 years ago
- Progressive Prompts: Continual Learning for Language Models☆98Updated 2 years ago
- Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models☆47Updated 2 years ago
- ☆20Updated 3 years ago
- Diffusion Model Improvement Method☆34Updated 2 years ago