microsoft / BANGLinks
BANG is a new pretraining model to Bridge the gap between Autoregressive (AR) and Non-autoregressive (NAR) Generation. AR and NAR generation can be uniformly regarded as to what extent previous tokens can be attended, and BANG bridges AR and NAR generation by designing a novel model structure for large-scale pretraining. The pretrained BANG mode…
☆28Updated 3 years ago
Alternatives and similar repositories for BANG
Users that are interested in BANG are comparing it to the libraries listed below
Sorting:
- ☆45Updated 4 years ago
- Code for the paper "A Theoretical Analysis of the Repetition Problem in Text Generation" in AAAI 2021.☆57Updated 3 years ago
- ☆35Updated 3 years ago
- [EACL'21] Non-Autoregressive with Pretrained Language Model☆62Updated 3 years ago
- Few-shot NLP benchmark for unified, rigorous eval☆93Updated 3 years ago
- Pytorch implementation of paper "Efficient Nearest Neighbor Language Models" (EMNLP 2021)☆74Updated 3 years ago
- ☆117Updated 3 years ago
- ☆26Updated 2 years ago
- [NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining☆118Updated 2 years ago
- ReConsider is a re-ranking model that re-ranks the top-K (passage, answer-span) predictions of an Open-Domain QA Model like DPR (Karpukhi…☆49Updated 4 years ago
- EMNLP 2021 - CTC: A Unified Framework for Evaluating Natural Language Generation☆98Updated 2 years ago
- Unicoder model for understanding and generation.☆92Updated last year
- [NAACL'22-Findings] Dataset for "Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training"☆18Updated 3 years ago
- Source code for paper: Knowledge Inheritance for Pre-trained Language Models☆38Updated 3 years ago
- ☆69Updated 3 years ago
- Princeton NLP's pre-training library based on fairseq with DeepSpeed kernel integration 🚃☆114Updated 3 years ago
- Knowledge Infused Decoding☆71Updated last year
- Source code for the EMNLP 2020 long paper <Token-level Adaptive Training for Neural Machine Translation>.☆20Updated 3 years ago
- [NeurIPS 2022]MorphTE: Injecting Morphology in Tensorized Embeddings☆17Updated 3 years ago
- Method to improve inference time for BERT. This is an implementation of the paper titled "PoWER-BERT: Accelerating BERT Inference via Pro…☆62Updated 2 months ago
- Pytorch implementation of models described in "Grounded compositional outputs for adaptive language modeling", EMNLP 2020.☆18Updated 4 years ago
- Code for EMNLP 2020 paper CoDIR☆41Updated 3 years ago
- Code for "Mixed Cross Entropy Loss for Neural Machine Translation"☆20Updated 4 years ago
- EMNLP 2021: Single-dataset Experts for Multi-dataset Question-Answering☆69Updated 4 years ago
- This repository is the official implementation of our EMNLP 2022 paper ELMER: A Non-Autoregressive Pre-trained Language Model for Efficie…☆26Updated 3 years ago
- Code for ACL2021 paper: "GLGE: A New General Language Generation Evaluation Benchmark"☆58Updated 3 years ago
- [NAACL 2021] Factual Probing Is [MASK]: Learning vs. Learning to Recall https://arxiv.org/abs/2104.05240☆167Updated 3 years ago
- Source code for NAACL 2021 paper "TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference"☆48Updated 3 years ago
- ☆17Updated 2 years ago
- ☆57Updated 3 years ago