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⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.

Lm Question Generation ⭐ 207

Multilingual/multidomain question generation datasets, models, and python library for question generation.

Banglanlg ⭐ 70

This repository contains the official release of the model "BanglaT5" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaNLG: Benchmarks and Resources for Evaluating Low-Resource Natural Language Generation in Bangla".

Turkish Question Generation ⭐ 22

Automated question generation and question answering from Turkish texts using text-to-text transformers

Domain Robustness Prompt Tuning ⭐ 6

Implementation of the report: on the domain robustness of prefix and prompt tuning

Glm Open Dialogue ⭐ 5

A enhanced Open Dialogue Context Generator supported by General Language Model Pretraining with Autoregressive Blank Infilling

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