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[ACL'24] A Knowledge-grounded Interactive Evaluation Framework for Large Language Models
A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.
Chinese safety prompts for evaluating and improving the safety of LLMs. 中文安全prompts，用于评估和提升大模型的安全性。
A series of code large language models developed by PKU-KCL
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
FlagEval is an evaluation toolkit for AI large foundation models.
用于从头预训练+SFT一个小参数量的中文LLaMa2的仓库；24G单卡即可运行得到一个具备简单中文问答能力的chat-llama2.
本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
The official GitHub page for the survey paper "A Survey of Large Language Models".
The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".
Weekly visualization report of Open LLM model performance based on 4 metrics.
A framework for few-shot evaluation of language models.
Transformer: PyTorch Implementation of "Attention Is All You Need"
Evaluating ChatGPT’s Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness
Robust machine learning for responsible AI
Exploiting Unlabeled Data for Target-Oriented Opinion Words Extraction
命名体识别(NER)综述-论文-模型-代码(BiLSTM-CRF/BERT-CRF)-竞赛资源总结-随时更新
NLP超强入门指南，包括各任务sota模型汇总（文本分类、文本匹配、序列标注、文本生成、语言模型），以及代码、技巧
中南大学学术论文LaTex模板。Central South University Thesis LaTeX Template.