XuhuiRen's repositories
adversarial_personalized_ranking
Adversarial Learning, Matrix Factorization, Recommendation
alpaca_chinese_dataset
人工精调的中文对话数据集
Awesome-KBQA
A list of recent papers about knowledge-based question answering (KBQA) and related area.
chatgpt_academic
科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能
clarification_question_generation_pytorch
Code and data for the paper: Answer-based Adversarial Training for Generating Clarification Questions
conversational-datasets
Datasets for conversational AI
conversationalIR
Overview of datasets and venues relevant for conversational search.
fastRAG
Efficient Retrieval Augmentation and Generation Framework
Interstellar
Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding. NeurIPS 2020.
KB4Rec
This is the data for KB4Rec
KGSF
KDD2020 Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion
lightning
Build and train PyTorch models and connect them to the ML lifecycle using Lightning App templates, without handling DIY infrastructure, cost management, scaling, and other headaches.
marcus-gpt3-bot
Marcus is a GPT-3 based travel guide chatbot. Hit him up with queries when you're on a trip and he'll tell you the places you should absolutely go to!
mhqg
Source code and dataset for "Difficulty-controllable Multi-hop Question Generation From Knowledge Graphs"
NeuralDialog-LaRL
PyTorch implementation of latent space reinforcement learning for E2E dialog published at NAACL 2019. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
nlp-competitions-list-review
复盘所有NLP比赛的TOP方案，只关注NLP比赛，持续更新中！
nlp-papers-with-arxiv
Statistics and accepted paper list of NLP conferences with arXiv link
ParlAI
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
QuestionGeneration
Question Generation Papers Collection.
ranking_clarification_questions
Implementation of the paper Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information in Pytorch
RefNet-QG
RefNet for Question Generation
semantic-parsing-annotation
Author implementation of the paper "Don’t paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing"
stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
supervised-embedding-model
Implementation of Supervised embedding models from [Learning End-to-End Goal-Oriented Dialog] paper.
tensorflow_practice
tensorflow实战练习，包括强化学习、推荐系统、nlp等
tkbc
A knowledge base completion method which handles temporal metadata