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Microsoft
- Seattle, U.S.A.
- @CanXu20
- https://scholar.google.com/citations?user=5aiE_NcAAAAJ&hl=en&oi=ao
Stars
A MIT-licensed, deployable starter kit for building and customizing your own version of AI town - a virtual town where AI characters live, chat and socialize.
A collection of modular datasets generated by GPT-4, General-Instruct - Roleplay-Instruct - Code-Instruct - and Toolformer
Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with …
Visual Studio Code extension for WizardCoder
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
Open Academic Research on Improving LLaMA to SOTA LLM
Code and documentation to train Stanford's Alpaca models, and generate the data.
Ongoing research training transformer models at scale
Source Code For ICLR 2023 Paper "KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP"
The official site of paper MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation
Must-read papers on prompt-based tuning for pre-trained language models.
Source code for ACL 2022 Paper "Prompt-based Data Augmentation for Low-Resource NLU Tasks"
A unified 3D Transformer Pipeline for visual synthesis
RUCAIBox / CRSPapers
Forked from Zilize/CRSPapersConversational Recommender System (CRS) paper list. 对话推荐系统论文列表
Crawl & visualize ICLR papers and reviews
the Pytorch implementation for our EMNLP 2021 paper "Learning Neural Templates for Recommender Dialogue System"
A Knowledge Grounded Conversation (KGC) Paper Reading List Maintained by Chuan Meng.
Code release for EMNLP 2021 Findings paper.
A Large-scale Chinese Short-Text Conversation Dataset and Chinese pre-training dialog models
PyTorch implementation for ACL 2021 paper "Maria: A Visual Experience Powered Conversational Agent".