DRT-o1: Optimized Deep Reasoning Translation via Long Chain-of-Thought

Code for paper "Patch-Level Training for Large Language Models"

code for Teaching LM to Translate with Comparison

[NeurIPS 2022] "A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models", Yuanxin Liu, Fandong Meng, Zheng Lin, Jiangnan Li, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou

Making large AI models cheaper, faster and more accessible

Code and Data for the ACL22 main conference paper "MSCTD: A Multimodal Sentiment Chat Translation Dataset"

EMNLP 2022: ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization

A benchmark for the task of translation suggestion

PatrickStar enables Larger, Faster, Greener Pretrained Models for NLP and democratizes AI for everyone.

《机器翻译：基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models

a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.

Code for the paper: GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling

Source code for "Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation"