为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

User-Centric Conversational Recommendation with Multi-Aspect User Modeling (UCCR)

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

Conversational Recommender System (CRS) paper list. 对话推荐系统论文列表

Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion

source code of KDD 2022 paper "Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN".

some experiment on knowledge graph embedding, such as TransE, DistMult, ConvE.

Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"

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LaTeX Proposal Template for the University of Chinese Academy of Sciences

MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.

PaddleSpatial is an open-source spatial-temporal computing tool based on PaddlePaddle.

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).

A collection of implementations of deep domain adaptation algorithms

This repo is a collection of AWESOME things about fake news detection, including papers, code, etc.

Towards Knowledge-Based Recommender Dialog System @ EMNLP 2019

Code and Data for SIGIR 2020 Paper "Few-Shot Generative Conversational Query Rewriting"

Crack LeetCode, not only how, but also why.

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)

Models and examples built with TensorFlow

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility