Name: Xiang Chen
Type: User
Company: Zhejiang University
Bio: PhD, School of Computer Science and Technology, Zhejiang University
Location: Xihu District, Hangzhou City, Zhejiang Province, China
Blog: https://scholar.google.com/citations?user=pXivdn8AAAAJ&hl=zh-CN
Xiang Chen's Projects
A collection of resources and papers on Diffusion Models
List of papers on hallucination detection in LLMs.
Awesome Incremental Learning
整理知识图谱相关学习资料
AKGR: Awesome Knowledge Graph Reasoning is a collection of knowledge graph reasoning works, including papers, codes and datasets
LLM hallucination paper list
A curated list of AWESOME papers, datasets and tutorials within Multimodal Knowledge Graph.
Google AI 2018 BERT pytorch implementation
A PyTorch implementation of "Improving BERT Fine-Tuning via Self-Ensemble and Self-Distillation"
Public repo for HF blog posts
🐫 CAMEL: Communicative Agents for “Mind” Exploration of Large Scale Language Model Society
骆驼:A Chinese finetuned instruction LLaMA. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技
中文LLaMA&Alpaca大语言模型+本地部署 (Chinese LLaMA & Alpaca LLMs)
DeepIE: Deep Learning for Information Extraction
Source code and dataset for the paper "Can Fine-tuning Pre-trained Models Lead to Perfect NLP? A Study of the Generalizability of Relation Extraction"
Source code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".
An Easy-to-use Hallucination Detection Framework for LLMs (e.g., Image2Text & Text2Image).
The release repo for "Vicuna: An Open Chatbot Impressing GPT-4"
Google Research
Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper
知识图谱初探,关系抽取,实体抽取,基于kb的问答,基于es的问答,知识图谱可视化
KG-BART: Knowledge Graph-Augmented BART for GenerativeCommonsense Reasoning
LlamaIndex (GPT Index) is a project that provides a central interface to connect your LLM's with external data.
Prompt 工程师利器,可同时比较多个 Prompts 在多个 LLM 模型上的效果
Code for ACM MM 2021 Paper "Multimodal Relation Extraction with Efficient Graph Alignment".
中文命名实体识别(包括多种模型:HMM,CRF,BiLSTM,BiLSTM+CRF的具体实现)