TobiasLee / Awesome-Efficient-PLMLinks
Must-read papers on improving efficiency for pre-trained language models.
☆104Updated 2 years ago
Alternatives and similar repositories for Awesome-Efficient-PLM
Users that are interested in Awesome-Efficient-PLM are comparing it to the libraries listed below
Sorting:
- ☆32Updated 3 years ago
- Source code for our EMNLP'21 paper 《Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning》☆61Updated 3 years ago
- Source code for our AAAI'22 paper 《From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression》☆24Updated 3 years ago
- [ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408☆196Updated 2 years ago
- Princeton NLP's pre-training library based on fairseq with DeepSpeed kernel integration 🚃☆114Updated 2 years ago
- A paper list of pre-trained language models (PLMs).☆81Updated 3 years ago
- ☆53Updated 3 years ago
- ICML'2022: Black-Box Tuning for Language-Model-as-a-Service & EMNLP'2022: BBTv2: Towards a Gradient-Free Future with Large Language Model…☆269Updated 2 years ago
- ☆66Updated last year
- Group Meeting Record for Baobao Chang Group in Peking University☆26Updated 4 years ago
- ☆78Updated 3 years ago
- Code for ACL 2023 paper titled "Lifting the Curse of Capacity Gap in Distilling Language Models"☆28Updated 2 years ago
- Paradigm shift in natural language processing☆42Updated 3 years ago
- ☆46Updated 3 years ago
- [NeurIPS 2022] "A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models", Yuanxin Liu, Fandong Meng, Zheng Lin, Jiangnan Li…☆21Updated last year
- reStructured Pre-training☆98Updated 2 years ago
- ☆56Updated 2 years ago
- 本文旨在整理文本生成领域国内外工业界和企业家的研究者和研究机构。排名不分先后。更 新中,欢迎大家补充☆50Updated 4 years ago
- 服务器 GPU 监控程序,当 GPU 属性满足预设条件时通过微信发送提示消息☆32Updated 3 years ago
- ☆117Updated 3 years ago
- 🎁[ChatGPT4NLU] A Comparative Study on ChatGPT and Fine-tuned BERT☆195Updated 2 years ago
- Source code for NAACL 2021 paper "TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference"☆47Updated 3 years ago
- Code for the ACL-2022 paper "StableMoE: Stable Routing Strategy for Mixture of Experts"☆47Updated 2 years ago
- ☆46Updated last month
- domain adaptation in NLP☆53Updated 3 years ago
- 揣摩研习社关注自然语言和信息检索前沿技术,解读热门科技论文,分享实用科研工具,挖掘人工智能冰山之下的学术和应用价值!☆37Updated 2 years ago
- Code associated with the paper **SkipBERT: Efficient Inference with Shallow Layer Skipping**, at ACL 2022☆16Updated 3 years ago
- Code for NAACL2022 Long Paper "An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling"☆28Updated 2 years ago
- Code for ACL 2022 paper "BERT Learns to Teach: Knowledge Distillation with Meta Learning".☆86Updated 2 years ago
- ☆22Updated 3 years ago