TobiasLee / Awesome-Efficient-PLM
Must-read papers on improving efficiency for pre-trained language models.
☆102Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for Awesome-Efficient-PLM
- Source code for our EMNLP'21 paper 《Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning》☆56Updated 3 years ago
- Source code for our AAAI'22 paper 《From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression》☆23Updated 2 years ago
- Code for ACL 2023 paper titled "Lifting the Curse of Capacity Gap in Distilling Language Models"☆28Updated last year
- [ACL 2022] Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408☆192Updated last year
- A paper list of pre-trained language models (PLMs).☆79Updated 2 years ago
- Notes of my introduction about NLP in Fudan University☆37Updated 3 years ago
- ☆53Updated 2 years ago
- ☆32Updated 3 years ago
- Code for the ACL-2022 paper "StableMoE: Stable Routing Strategy for Mixture of Experts"☆42Updated 2 years ago
- ☆64Updated 6 months ago
- Princeton NLP's pre-training library based on fairseq with DeepSpeed kernel integration 🚃☆112Updated 2 years ago
- Source code for NAACL 2021 paper "TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference"☆44Updated 2 years ago
- ☆78Updated 2 years ago
- domain adaptation in NLP☆52Updated 3 years ago
- Group Meeting Record for Baobao Chang Group in Peking University☆25Updated 3 years ago
- ☆59Updated last year
- Paradigm shift in natural language processing☆42Updated 2 years ago
- A pre-trained model with multi-exit transformer architecture.☆53Updated last year
- ☆116Updated 2 years ago
- reStructured Pre-training☆97Updated last year
- 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☆48Updated 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 10 months ago
- ICML'2022: Black-Box Tuning for Language-Model-as-a-Service & EMNLP'2022: BBTv2: Towards a Gradient-Free Future with Large Language Model…☆260Updated 2 years ago
- This PyTorch package implements MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation (NAACL 2022).☆97Updated 2 years ago
- Code for ACL 2022 paper "BERT Learns to Teach: Knowledge Distillation with Meta Learning".☆83Updated 2 years ago
- ☆56Updated 2 years ago
- [KDD'22] Learned Token Pruning for Transformers☆93Updated last year
- Code associated with the paper **SkipBERT: Efficient Inference with Shallow Layer Skipping**, at ACL 2022☆15Updated 2 years ago
- This repo contains the code for Late Prompt Tuning.☆11Updated last year
- Official Code for "PPT: Pre-trained Prompt Tuning for Few-shot Learning". ACL 2022☆108Updated 2 years ago