RoCBert

Robust text model

A pre-trained Chinese language model designed to be robust against maliciously crafted texts

GitHub

15 stars
2 watching
2 forks
Language: Python
last commit: almost 2 years ago

Related projects:

Repository Description Stars
zhuiyitechnology/roformer-sim An upgraded version of SimBERT model with integrated retrieval and generation capabilities 438
ymcui/macbert Improves pre-trained Chinese language models by incorporating a correction task to alleviate inconsistency issues with downstream tasks 645
ethan-yt/guwenbert A pre-trained language model for classical Chinese based on RoBERTa and ancient literature. 506
shannonai/chinesebert A deep learning model that incorporates visual and phonetic features of Chinese characters to improve its ability to understand Chinese language nuances 542
zhuiyitechnology/wobert A pre-trained Chinese language model that uses word embeddings and is designed to process Chinese text 458
ymcui/chinese-mobilebert An implementation of MobileBERT, a pre-trained language model, in Python for NLP tasks. 80
hit-scir/chinese-mixtral-8x7b An implementation of a large language model for Chinese text processing, focusing on MoE (Multi-Headed Attention) architecture and incorporating a vast vocabulary. 641
yunwentechnology/unilm This project provides pre-trained models for natural language understanding and generation tasks using the UniLM architecture. 438
brightmart/xlnet_zh Trains a large Chinese language model on massive data and provides a pre-trained model for downstream tasks 230
cluebenchmark/cluepretrainedmodels Provides pre-trained models for Chinese language tasks with improved performance and smaller model sizes compared to existing models. 804
ieit-yuan/yuan2.0-m32 A high-performance language model designed to excel in tasks like natural language understanding, mathematical computation, and code generation 180
shawn-ieitsystems/yuan-1.0 Large-scale language model with improved performance on NLP tasks through distributed training and efficient data processing 591
hendrycks/robustness Evaluates and benchmarks the robustness of deep learning models to various corruptions and perturbations in computer vision tasks. 1,022
guanghelee/neurips19-certificates-of-robustness Tight certificates of adversarial robustness for randomly smoothed classifiers 17
sail-sg/mmcbench A benchmarking framework designed to evaluate the robustness of large multimodal models against common corruption scenarios 27