fdalvi / analyzing-redundancy-in-pretrained-transformer-models
Code for Analyzing Redundancy in Pretrained Transformer Models accepted at EMNLP 2020
☆12Updated 4 years ago
Alternatives and similar repositories for analyzing-redundancy-in-pretrained-transformer-models:
Users that are interested in analyzing-redundancy-in-pretrained-transformer-models are comparing it to the libraries listed below
- A method for evaluating the high-level coherence of machine-generated texts. Identifies high-level coherence issues in transformer-based …☆11Updated 2 years ago
- ☆18Updated 10 months ago
- Fine-Tuning Pre-trained Transformers into Decaying Fast Weights☆19Updated 2 years ago
- Official code repo for paper "Great Memory, Shallow Reasoning: Limits of kNN-LMs"☆22Updated 7 months ago
- Repo for ICML23 "Why do Nearest Neighbor Language Models Work?"☆56Updated 2 years ago
- ☆11Updated 4 months ago
- Adding new tasks to T0 without catastrophic forgetting☆33Updated 2 years ago
- [ICLR 2023] PyTorch code of Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees☆24Updated last year
- Repository for Skill Set Optimization☆12Updated 8 months ago
- HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation [ACL 2023]☆14Updated last year
- Transformers at any scale☆41Updated last year
- Embedding Recycling for Language models☆38Updated last year
- ☆14Updated 6 months ago
- Few-shot Learning with Auxiliary Data☆27Updated last year
- Implementation of the model: "Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models" in PyTorch☆30Updated 3 weeks ago
- [NeurIPS 2023] Sparse Modular Activation for Efficient Sequence Modeling☆36Updated last year
- Repo for "Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks" ACL 2023 Findings☆16Updated last year
- Code for paper "Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs"☆28Updated 2 years ago
- An attempt to merge ESBN with Transformers, to endow Transformers with the ability to emergently bind symbols☆15Updated 3 years ago
- Code for NAACL 2022 paper "Reframing Human-AI Collaboration for Generating Free-Text Explanations"☆31Updated last year
- Tasks for describing differences between text distributions.☆16Updated 8 months ago
- Starbucks: Improved Training for 2D Matryoshka Embeddings☆19Updated 2 months ago
- ☆32Updated last year
- Large-scale query-focused multi-document Summarization dataset☆10Updated 3 years ago
- ☆22Updated 2 years ago
- triton ver of gqa flash attn, based on the tutorial☆11Updated 8 months ago
- ☆53Updated 9 months ago
- Reference implementation for Reward-Augmented Decoding: Efficient Controlled Text Generation With a Unidirectional Reward Model☆42Updated last year
- Task Compass: Scaling Multi-task Pre-training with Task Prefix (EMNLP 2022: Findings) (stay tuned & more will be updated)☆22Updated 2 years ago
- ☆15Updated last year